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ORCIDManuela M. Veloso
Manuela Veloso
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2025
[c452]Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. AAAI 2025: 16808-16816- [i104]Yousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso:
Mixup Regularization: A Probabilistic Perspective. CoRR abs/2502.13825 (2025) - [i103]Shayleen Reynolds, Saheed Obitayo, Niccolò Dalmasso, Dung Daniel T. Ngo, Vamsi K. Potluru, Manuela Veloso:
Toward Breaking Watermarks in Distortion-free Large Language Models. CoRR abs/2502.18608 (2025) - [i102]Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso:
The Value of Goal Commitment in Planning. CoRR abs/2503.09545 (2025) - 2024
- [j105]Stephanie Milani
, Nicholay Topin, Manuela Veloso, Fei Fang:
Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. 56(7): 168:1-168:36 (2024) - [j104]Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso:
Capacity planning and scheduling for jobs with uncertainty in resource usage and duration. J. Supercomput. 80(15): 22428-22461 (2024) - [c451]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. AAAI 2024: 16120-16128 - [c450]Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI 2024: 20786-20793 - [c449]Mattia Jacopo Villani, Emanuele Albini, Shubham Sharma, Saumitra Mishra, Salim Ibrahim Amoukou, Daniele Magazzeni, Manuela Veloso:
PICE: Polyhedral Complex Informed Counterfactual Explanations. AIES (1) 2024: 1502-1513 - [c448]Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song:
Flow as the Cross-domain Manipulation Interface. CoRL 2024: 2475-2499 - [c447]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. ECAI 2024: 1132-1139 - [c446]Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso:
"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs. EMNLP (Findings) 2024: 13162-13185 - [c445]Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko:
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP 2024: 21598-21634 - [c444]Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso:
TADACap: Time-series Adaptive Domain-Aware Captioning. ICAIF 2024: 54-62 - [c443]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. ICML 2024 - [c442]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. ICML 2024 - [c441]Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso:
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-Processing Matters. IGARSS 2024: 7746-7751 - [c440]Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
Sequential Harmful Shift Detection Without Labels. NeurIPS 2024 - [c439]Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lécué, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fair Wasserstein Coresets. NeurIPS 2024 - [i101]Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i100]Alberto Pozanco, Daniel Borrajo, Manuela Veloso:
On Computing Plans with Uniform Action Costs. CoRR abs/2402.09877 (2024) - [i99]Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values. CoRR abs/2403.08880 (2024) - [i98]Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli, Sameena Shah, Manuela Veloso:
Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic. CoRR abs/2403.09260 (2024) - [i97]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso:
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR abs/2403.11047 (2024) - [i96]Daniel Borrajo, Manuela Veloso:
Intelligent Execution through Plan Analysis. CoRR abs/2403.12162 (2024) - [i95]Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso:
Six Levels of Privacy: A Framework for Financial Synthetic Data. CoRR abs/2403.14724 (2024) - [i94]Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR abs/2403.16667 (2024) - [i93]Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso:
FlowMind: Automatic Workflow Generation with LLMs. CoRR abs/2404.13050 (2024) - [i92]Tom Bewley, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, Manuela Veloso:
Counterfactual Metarules for Local and Global Recourse. CoRR abs/2405.18875 (2024) - [i91]Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso:
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR abs/2406.02625 (2024) - [i90]William Watson, Nicole Cho, Tucker Balch, Manuela Veloso:
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. CoRR abs/2406.10803 (2024) - [i89]Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso:
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR abs/2407.06533 (2024) - [i88]Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. CoRR abs/2407.13625 (2024) - [i87]Mengda Xu, Zhenjia Xu, Yinghao Xu, Cheng Chi, Gordon Wetzstein, Manuela Veloso, Shuran Song:
Flow as the Cross-Domain Manipulation Interface. CoRR abs/2407.15208 (2024) - [i86]Marianela Morales, Alberto Pozanco, Giuseppe Canonaco, Sriram Gopalakrishnan, Daniel Borrajo, Manuela Veloso:
On Learning Action Costs from Input Plans. CoRR abs/2408.10889 (2024) - [i85]Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Temporal Fairness in Decision Making Problems. CoRR abs/2408.13208 (2024) - [i84]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Ensemble Methods for Sequence Classification with Hidden Markov Models. CoRR abs/2409.07619 (2024) - [i83]Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso:
Adaptive and Robust Watermark for Generative Tabular Data. CoRR abs/2409.14700 (2024) - [i82]Natraj Raman, Sumitra Ganesh, Manuela Veloso:
Scalable Representation Learning for Multimodal Tabular Transactions. CoRR abs/2410.07851 (2024) - [i81]Mohsen Ghassemi, Alan Mishler, Niccolò Dalmasso, Luhao Zhang, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Auditing and Enforcing Conditional Fairness via Optimal Transport. CoRR abs/2410.14029 (2024) - [i80]Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso:
"What is the value of {templates}?" Rethinking Document Information Extraction Datasets for LLMs. CoRR abs/2410.15484 (2024) - [i79]Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson Vadori, Manuela Veloso:
Learning Mathematical Rules with Large Language Models. CoRR abs/2410.16973 (2024) - [i78]Nancy Thomas, Saba Rahimi, Annita Vapsi, Cathy Ansell, Elizabeth Christie, Daniel Borrajo, Tucker Balch, Manuela Veloso:
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters. CoRR abs/2410.22150 (2024) - [i77]Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso:
Behavioral Sequence Modeling with Ensemble Learning. CoRR abs/2411.02174 (2024) - [i76]Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso:
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. CoRR abs/2411.13451 (2024) - [i75]Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lécué, Manuela Veloso:
Interpreting Language Reward Models via Contrastive Explanations. CoRR abs/2411.16502 (2024) - [i74]William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso:
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. CoRR abs/2412.11063 (2024) - [i73]Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
Sequential Harmful Shift Detection Without Labels. CoRR abs/2412.12910 (2024) - 2023
- [j103]Robert E. Tillman, Tucker Balch, Manuela Veloso:
Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. Trans. Mach. Learn. Res. 2023 (2023) - [c438]Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso:
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. AIES 2023: 443-453 - [c437]Alberto Pozanco, Kassiani Papasotiriou, Daniel Borrajo, Manuela Veloso:
Combining Heuristic Search and Linear Programming to Compute Realistic Financial Plans. ICAPS 2023: 527-531 - [c436]Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song:
XSkill: Cross Embodiment Skill Discovery. CoRL 2023: 3536-3555 - [c435]Alberto Pozanco, Daniel Borrajo, Manuela Veloso:
Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. ECAI 2023: 1898-1905 - [c434]William Watson, Nicole Cho, Tucker Balch, Manuela Veloso:
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. EMNLP 2023: 7144-7159 - [c433]Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, Manuela Veloso:
FlowMind: Automatic Workflow Generation with LLMs. ICAIF 2023: 73-81 - [c432]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso:
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF 2023: 82-90 - [c431]Niccolò Dalmasso, Renbo Zhao, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Efficient Event Series Data Modeling via First-Order Constrained Optimization. ICAIF 2023: 463-471 - [c430]Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF 2023: 498-506 - [c429]Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially private synthetic data using KD-trees. UAI 2023: 1143-1153 - [c428]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. USENIX Security Symposium 2023: 6417-6434 - [i72]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso:
Financial Time Series Forecasting using CNN and Transformer. CoRR abs/2304.04912 (2023) - [i71]Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially Private Synthetic Data Using KD-Trees. CoRR abs/2306.13211 (2023) - [i70]Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR abs/2307.08816 (2023) - [i69]Mengda Xu, Zhenjia Xu, Cheng Chi, Manuela Veloso, Shuran Song:
XSkill: Cross Embodiment Skill Discovery. CoRR abs/2307.09955 (2023) - [i68]Saba Rahimi, Tucker Balch, Manuela Veloso:
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test. CoRR abs/2308.11827 (2023) - [i67]Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR abs/2309.16741 (2023) - [i66]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. CoRR abs/2310.09621 (2023) - [i65]Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. CoRR abs/2311.00109 (2023) - [i64]Zikai Xiong, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fair Wasserstein Coresets. CoRR abs/2311.05436 (2023) - [i63]Antigoni Polychroniadou, Gilad Asharov, Benjamin E. Diamond, Tucker Balch, Hans Buehler, Richard Hua, Suwen Gu, Greg Gimler, Manuela Veloso:
Prime Match: A Privacy-Preserving Inventory Matching System. IACR Cryptol. ePrint Arch. 2023: 400 (2023) - 2022
- [j102]Kim Baraka, Marta Couto, Francisco S. Melo, Ana Paiva, Manuela Veloso:
"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy. Frontiers Robotics AI 9: 784249 (2022) - [j101]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [c427]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. AAMAS 2022: 1527-1529 - [c426]Aviram Aviv, Yaniv Oshrat, Samuel Assefa, Toby Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. EUMAS 2022: 41-59 - [c425]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Tucker Balch, Sameena Shah, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. ICAIF 2022: 506-513 - [c424]Mengda Xu, Manuela Veloso, Shuran Song:
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. NeurIPS 2022 - [c423]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. SIGIR 2022: 780-790 - [i62]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i61]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - [i60]Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
A Survey of Explainable Reinforcement Learning. CoRR abs/2202.08434 (2022) - [i59]Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially Private Learning of Hawkes Processes. CoRR abs/2207.13741 (2022) - [i58]Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. CoRR abs/2208.07961 (2022) - [i57]Mengda Xu, Manuela Veloso, Shuran Song:
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. CoRR abs/2209.15205 (2022) - [i56]Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso:
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR abs/2210.07184 (2022) - [i55]Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso:
Towards learning to explain with concept bottleneck models: mitigating information leakage. CoRR abs/2211.03656 (2022) - [i54]Joshua Lockhart, Daniele Magazzeni, Manuela Veloso:
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions. CoRR abs/2211.11690 (2022) - [i53]Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. CoRR abs/2212.06081 (2022) - 2021
- [j100]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [j99]Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner. IEEE Trans. Intell. Transp. Syst. 22(2): 1026-1040 (2021) - [c422]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI 2021: 9923-9931 - [c421]Daniel Borrajo, Manuela Veloso:
Computing Opportunities to Augment Plans for Novel Replanning during Execution. ICAPS 2021: 51-55 - [c420]Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA 2021: 405-417 - [c419]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS 2021 - [c418]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF 2021: 21:1-21:8 - [c417]Srijan Sood, Zhen Zeng, Naftali Cohen, Tucker Balch, Manuela Veloso:
Visual time series forecasting: an image-driven approach. ICAIF 2021: 22:1-22:9 - [c416]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-gym: gym environments for multi-agent discrete event simulation and application to financial markets. ICAIF 2021: 30:1-30:9 - [c415]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in streaming binary classification under limited inspection resources. ICAIF 2021: 36:1-36:9 - [c414]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep video prediction for time series forecasting. ICAIF 2021: 39:1-39:7 - [c413]Daniel Borrajo, Manuela Veloso:
Intelligent Execution through Plan Analysis. IROS 2021: 3162-3167 - [c412]Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso:
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS 2021: 7953-7960 - [c411]Pragna Mannam, Avi Rudich, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Fatma Zeynep Temel:
A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation. Robotics: Science and Systems 2021 - [i52]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR abs/2101.02252 (2021) - [i51]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep Video Prediction for Time Series Forecasting. CoRR abs/2102.12061 (2021) - [i50]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i49]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR abs/2102.13045 (2021) - [i48]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. CoRR abs/2105.03986 (2021) - [i47]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i46]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR abs/2110.01325 (2021) - [i45]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR abs/2110.02403 (2021) - [i44]Yufei Wu, Mahmoud Mahfouz, Daniele Magazzeni, Manuela Veloso:
How Robust are Limit Order Book Representations under Data Perturbation? CoRR abs/2110.04752 (2021) - [i43]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets. CoRR abs/2110.14771 (2021) - [i42]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - [i41]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR abs/2111.06016 (2021) - [i40]Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob H. Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2020
- [j98]Kim Baraka, Francisco S. Melo, Marta Couto, Manuela Veloso:
Optimal action sequence generation for assistive agents in fixed horizon tasks. Auton. Agents Multi Agent Syst. 34(2): 33 (2020) - [j97]Nerea Luis, Tiago Raul Pereira, Susana Fernández, António Moreira, Daniel Borrajo, Manuela Veloso:
Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning. J. Intell. Robotic Syst. 98(1): 165-190 (2020) - [c410]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211 - [c409]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS 2020: 1260-1268 - [c408]Gilad Asharov, Tucker Hybinette Balch, Antigoni Polychroniadou, Manuela Veloso:
Privacy-Preserving Dark Pools. AAMAS 2020: 1747-1749 - [c407]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso:
Heuristics for Link Prediction in Multiplex Networks. ECAI 2020: 1938-1945 - [c406]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch:
Get real: realism metrics for robust limit order book market simulations. ICAIF 2020: 2:1-2:8 - [c405]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF 2020: 3:1-3:8 - [c404]Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Recommending missing and suspicious links in multiplex financial networks. ICAIF 2020: 20:1-20:8 - [c403]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF 2020: 28:1-28:9 - [c402]Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso:
SURF: improving classifiers in production by learning from busy and noisy end users. ICAIF 2020: 37:1-37:8 - [c401]Jiahao Chen, Manuela Veloso:
Paying down metadata debt: learning the representation of concepts using topic models. ICAIF 2020: 43:1-43:8 - [c400]Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso:
Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF 2020: 44:1-44:8 - [c399]Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via image classification. ICAIF 2020: 53:1-53:6 - [c398]Devin Schwab, Yifeng Zhu, Manuela Veloso:
Tensor Action Spaces for Multi-agent Robot Transfer Learning. IROS 2020: 5380-5386 - [c397]Tess Lee Hellebrekers, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Carmel Majidi:
Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation. IROS 2020: 8867-8874 - [c396]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations Through Interactive Exploration. ISER 2020: 309-322 - [c395]Manuela Veloso:
AI for Intelligent Financial Services: Examples and Discussion. KDD 2020: 1-2 - [c394]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS 2020 - [i39]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso:
Heuristics for Link Prediction in Multiplex Networks. CoRR abs/2004.04704 (2020) - [i38]Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Latent Bayesian Inference for Robust Earnings Estimates. CoRR abs/2004.06565 (2020) - [i37]Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso:
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. CoRR abs/2004.13152 (2020) - [i36]Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov:
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR abs/2005.06041 (2020) - [i35]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR abs/2006.12686 (2020) - [i34]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR abs/2006.13085 (2020) - [i33]Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant P. Reddy, Manuela Veloso:
AI pptX: Robust Continuous Learning for Document Generation with AI Insights. CoRR abs/2010.01169 (2020) - [i32]Jiahao Chen, Manuela Veloso:
Paying down metadata debt: learning the representation of concepts using topic models. CoRR abs/2010.04836 (2020) - [i31]Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso:
SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR abs/2010.05852 (2020) - [i30]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - [i29]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR abs/2011.01826 (2020) - [i28]Daniel Borrajo, Manuela Veloso:
Domain-independent generation and classification of behavior traces. CoRR abs/2011.02918 (2020) - [i27]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR abs/2011.09052 (2020)
2010 – 2019
- 2019
- [j96]Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions. Int. J. Robotics Res. 38(8) (2019) - [j95]Tiago Raul de Sousa Pereira, António Paulo Moreira, Manuela Veloso:
Optimal Perception Planning with Informed Heuristics Constructed from Visibility Maps. J. Intell. Robotic Syst. 93(3-4): 547-570 (2019) - [j94]Kim Baraka, Francisco S. Melo, Manuela Veloso:
Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics 10(1): 103-116 (2019) - [j93]Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi:
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. IEEE Robotics Autom. Mag. 26(3): 99-102 (2019) - [j92]Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi:
Model-Based Adaptation for Robotics Software. IEEE Softw. 36(2): 83-90 (2019) - [c393]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. AAAI 2019: 2514-2521 - [c392]Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso:
A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS 2019: 455-463 - [c391]Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso:
Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS 2019: 674-679 - [c390]Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso:
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. AAMAS 2019: 95-103 - [c389]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. Humanoids 2019: 409-416 - [c388]Yifeng Zhu, Devin Schwab, Manuela Veloso:
Learning Primitive Skills for Mobile Robots. ICRA 2019: 7597-7603 - [c387]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. IJCAI 2019: 2442-2448 - [c386]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN 2019: 1-8 - [e10]Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. International Foundation for Autonomous Agents and Multiagent Systems 2019, ISBN 978-1-4503-6309-9 [contents] - [i26]William H. Guss, Cayden R. Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/1904.10079 (2019) - [i25]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. CoRR abs/1905.12044 (2019) - [i24]Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR abs/1907.01180 (2019) - [i23]Naftali Cohen, Tucker Balch, Manuela Veloso:
The Effect of Visual Design in Image Classification. CoRR abs/1907.09567 (2019) - [i22]Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via Image Classification. CoRR abs/1907.10046 (2019) - [i21]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden R. Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. CoRR abs/1907.13440 (2019) - [i20]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. CoRR abs/1909.12460 (2019) - [i19]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR abs/1910.11459 (2019) - [i18]Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso:
Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR abs/1911.05892 (2019) - [i17]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR abs/1911.12851 (2019) - [i16]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR abs/1912.04941 (2019) - 2018
- [j91]Kim Baraka, Manuela M. Veloso:
Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation. Int. J. Soc. Robotics 10(1): 65-92 (2018) - [j90]James G. Bellingham, Pierre E. Dupont, Peer Fischer, Luciano Floridi, Robert J. Full, Neil Jacobstein, Vijay Kumar, Marcia McNutt, Robert D. Merrifield, Bradley J. Nelson, Brian Scassellati, Mariarosaria Taddeo, Russell H. Taylor, Manuela M. Veloso, Zhong Lin Wang, Robert J. Wood:
The grand challenges of Science Robotics. Sci. Robotics 3(14) (2018) - [j89]Manuela M. Veloso:
The Increasingly Fascinating Opportunity for Human-Robot-AI Interaction: The CoBot Mobile Service Robots. ACM Trans. Hum. Robot Interact. 7(1): 5:1-5:2 (2018) - [c385]Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891 - [c384]Devin Schwab, Yifeng Zhu, Manuela M. Veloso:
Zero Shot Transfer Learning for Robot Soccer. AAMAS 2018: 2070-2072 - [c383]Max Korein, Manuela M. Veloso:
Multi-Armed Bandit Algorithms for Spare Time Planning of a Mobile Service Robot. AAMAS 2018: 2195-2197 - [c382]Alexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso:
Vision Augmented Robot Feeding. ECCV Workshops (6) 2018: 50-65 - [c381]Max Korein, Manuela Veloso:
Multi-Armed Bandit Algorithms for a Mobile Service Robot's Spare Time in a Structured Environment. GCAI 2018: 121-133 - [c380]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier Labels as Language Grounding for Explanations. GCAI 2018: 148-161 - [c379]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier-Based Evaluation of Image Feature Importance. GCAI 2018: 162-175 - [c378]Vittorio Perera, Manuela Veloso:
Interpretability of a Service Robot: Enabling User Questions and Checkable Answers. GCAI 2018: 176-187 - [c377]Rui Silva, Francisco S. Melo, Manuela Veloso:
What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. GCAI 2018: 229-242 - [c376]Ashwin Khadke, Manuela Veloso:
Inferring Capabilities by Experimentation. IAS 2018: 889-901 - [c375]Tiago Raul de Sousa Pereira, Nerea Luis, António Paulo Moreira, Daniel Borrajo, Manuela M. Veloso, Susana Fernández:
Heterogeneous multi-agent planning using actuation maps. ICARSC 2018: 219-224 - [c374]Anahita Mohseni-Kabir, Manuela M. Veloso:
Robot Task Interruption by Learning to Switch Among Multiple Models. IJCAI 2018: 4943-4949 - [c373]Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c372]João Cartucho, Rodrigo Ventura, Manuela Veloso:
Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots. IROS 2018: 2336-2341 - [c371]Philip Cooksey, Manuela Veloso:
A Rationale-Driven Team Plan Representation for Autonomous Intra-Robot Replanning*. IROS 2018: 2389-2394 - [c370]Travers Rhodes, Manuela Veloso:
Robot-driven Trajectory Improvement for Feeding Tasks. IROS 2018: 2991-2996 - [c369]Rongye Shi, Peter Steenkiste, Manuela Veloso:
Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation. ITSC 2018: 3397-3402 - [c368]Devin Schwab, Yifeng Zhu, Manuela Veloso:
Learning Skills for Small Size League RoboCup. RoboCup 2018: 83-95 - [c367]Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310 - [i15]Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela M. Veloso:
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation. CoRR abs/1802.03675 (2018) - [i14]Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso:
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR abs/1806.03671 (2018) - [i13]Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca:
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR abs/1812.07613 (2018) - 2017
- [j88]Somchaya Liemhetcharat, Manuela M. Veloso:
Allocating training instances to learning agents for team formation. Auton. Agents Multi Agent Syst. 31(4): 905-940 (2017) - [j87]Danny Zhu, Manuela M. Veloso:
Event-based automated refereeing for robot soccer. Auton. Robots 41(7): 1463-1485 (2017) - [j86]Stefan J. Witwicki, José Carlos Castillo, João V. Messias, Jesús Capitán, Francisco S. Melo, Pedro U. Lima, Manuela M. Veloso:
Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. IEEE Robotics Autom. Mag. 24(3): 52-64 (2017) - [j85]Joydeep Biswas, Manuela M. Veloso:
Episodic non-Markov localization. Robotics Auton. Syst. 87: 162-176 (2017) - [c366]Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. BDCAT 2017: 255-264 - [c365]Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRL 2017: 249-261 - [c364]Catarina Silva, Jayakorn Vongkulbhisal, Manuel Marques, João Paulo Costeira, Manuela M. Veloso:
Feedbot - A Robotic Arm for Autonomous Assisted Feeding. EPIA 2017: 486-497 - [c363]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process. EPIA 2017: 753-765 - [c362]Qingxiaoyang Zhu, Vittorio Perera, Mirko Wächter, Tamim Asfour, Manuela M. Veloso:
Autonomous narration of humanoid robot kitchen task experience. Humanoids 2017: 390-397 - [c361]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders. ICDL-EPIROB 2017: 202-208 - [c360]Junyun Tay, Manuela M. Veloso, I-Ming Chen:
Learning individual motion preferences from audience feedback of motion sequences. ICRA 2017: 2768-2773 - [c359]Philip Cooksey, Manuela M. Veloso:
Intra-robot replanning to enable team plan conditions. IROS 2017: 1113-1118 - [c358]Rui Silva, Miguel Faria, Francisco S. Melo, Manuela M. Veloso:
Adaptive indirect control through communication in collaborative human-robot interaction. IROS 2017: 3617-3622 - [c357]Danny Zhu, Manuela M. Veloso:
Visualizing robot behaviors as automated video annotations: A case study in robot soccer. IROS 2017: 6408-6413 - [c356]Vittorio Perera, Manuela M. Veloso:
Learning to understand questions on the task history of a service robot. RO-MAN 2017: 304-309 - [c355]Lotte de Koning, Juan Pablo Mendoza, Manuela M. Veloso, René van de Molengraft:
Skills, Tactics and Plays for Distributed Multi-robot Control in Adversarial Environments. RoboCup 2017: 277-289 - [c354]Carlos Celemin, Rodrigo Pérez-Dattari, Javier Ruiz-del-Solar, Manuela M. Veloso:
Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots. RoboCup 2017: 363-375 - [c353]Tiago Raul de Sousa Pereira, António Paulo Gomes Mendes Moreira, Manuela M. Veloso:
Multi-Robot Planning for Perception of Multiple Regions of Interest. ROBOT (1) 2017: 275-286 - [c352]Danny Zhu, Manuela M. Veloso:
A multi-layered visualization language for video augmentation. SIGGRAPH Asia Symposium on Visualization 2017: 7:1-7:8 - [c351]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities. ICSR 2017: 105-114 - [c350]Ishani Chatterjee, Maxim Likhachev, Manuela M. Veloso:
Search Reduction through Conservative Abstract-Space Based Heuristic. SOCS 2017: 161-162 - [i12]Vittorio Perera, Tiago Pereira, Jonathan Connell, Manuela M. Veloso:
Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users. CoRR abs/1704.04797 (2017) - [i11]Shichao Yang, Sandeep Konam, Chen Ma, Stephanie Rosenthal, Manuela M. Veloso, Sebastian A. Scherer:
Obstacle Avoidance through Deep Networks based Intermediate Perception. CoRR abs/1704.08759 (2017) - [i10]Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRR abs/1705.10422 (2017) - [i9]Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing, Stephanie Rosenthal, Manuela M. Veloso:
Visual Explanations for Convolutional Neural Networks via Input Resampling. CoRR abs/1707.09641 (2017) - [i8]Sandeep Konam, Stephanie Rosenthal, Manuela M. Veloso:
UAV and Service Robot Coordination for Indoor Object Search Tasks. CoRR abs/1709.08831 (2017) - [i7]Ashwin Khadke, Manuela M. Veloso:
What Can This Robot Do? Learning from Appearance and Experiments. CoRR abs/1712.05497 (2017) - 2016
- [j84]Gary Marcus, Francesca Rossi, Manuela M. Veloso:
Beyond the Turing Test. AI Mag. 37(1): 3-4 (2016) - [j83]Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains. Big Data 4(4): 269-285 (2016) - [j82]Joydeep Biswas, Manuela M. Veloso:
The 1, 000-km Challenge: Insights and Quantitative and Qualitative Results. IEEE Intell. Syst. 31(3): 86-96 (2016) - [j81]James G. Bellingham, Howie Choset, Paolo Dario, Peer Fischer, Toshio Fukuda, Neil Jacobstein, Bradley J. Nelson, Manuela M. Veloso, Jeremy M. Berg:
Science for robotics and robotics for science. Sci. Robotics 1(1) (2016) - [c349]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum:
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. AAAI 2016: 222-228 - [c348]Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven D. Klee, Danny Zhu, Manuela M. Veloso:
Selectively Reactive Coordination for a Team of Robot Soccer Champions. AAAI 2016: 3354-3360 - [c347]Rick Goldstein, Manuela M. Veloso:
Extendable Pantograph Arms. AAAI Spring Symposia 2016 - [c346]Juan Pablo Mendoza, Reid G. Simmons, Manuela M. Veloso:
Online Learning of Robot Soccer Free Kick Plans Using a Bandit Approach. ICAPS 2016: 504-508 - [c345]Rui Silva, Francisco S. Melo, Manuela M. Veloso:
Adaptive Symbiotic Collaboration for Targeted Complex Manipulation Tasks. ECAI 2016: 863-870 - [c344]Tiago Raul de Sousa Pereira, Manuela M. Veloso, António Paulo Moreira:
PA*: Optimal Path Planning for Perception Tasks. ECAI 2016: 1740-1741 - [c343]Tiago Raul de Sousa Pereira, António Paulo Moreira, Manuela M. Veloso:
Improving Heuristics of Optimal Perception Planning Using Visibility Maps. ICARSC 2016: 150-155 - [c342]Susana Brandão, João Paulo Costeira, Manuela M. Veloso:
Combining 3D Shape and Color for 3D Object Recognition. ICIAR 2016: 481-489 - [c341]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Active sensing data collection with autonomous mobile robots. ICRA 2016: 2583-2588 - [c340]Stephanie Rosenthal, Sai P. Selvaraj, Manuela M. Veloso:
Verbalization: Narration of Autonomous Robot Experience. IJCAI 2016: 862-868 - [c339]Junyun Tay, I-Ming Chen, Manuela M. Veloso:
Autonomous mapping between motions and labels. IROS 2016: 3333-3338 - [c338]Tiago Raul de Sousa Pereira, Manuela M. Veloso, António Paulo Moreira:
Visibility maps for any-shape robots. IROS 2016: 4205-4210 - [c337]Vittorio Perera, Sai P. Selvaraj, Stephanie Rosenthal, Manuela M. Veloso:
Dynamic generation and refinement of robot verbalization. RO-MAN 2016: 212-218 - [c336]Kim Baraka, Stephanie Rosenthal, Manuela M. Veloso:
Enhancing human understanding of a mobile robot's state and actions using expressive lights. RO-MAN 2016: 652-657 - [c335]Philip Cooksey, Juan Pablo Mendoza, Manuela M. Veloso:
Opponent-Aware Ball-Manipulation Skills for an Autonomous Soccer Robot. RoboCup 2016: 84-96 - [c334]Danny Zhu, Manuela M. Veloso:
Virtually Adapted Reality and Algorithm Visualization for Autonomous Robots. RoboCup 2016: 452-464 - [c333]Jianmin Ji, Pooyan Fazli, Song Liu, Tiago Raul de Sousa Pereira, Dongcai Lu, Jiangchuan Liu, Manuela M. Veloso, Xiaoping Chen:
Help Me! Sharing of Instructions Between Remote and Heterogeneous Robots. ICSR 2016: 786-795 - [p3]Daniele Nardi, Jonathan Roberts, Manuela M. Veloso, Luke Fletcher:
Robotics Competitions and Challenges. Springer Handbook of Robotics, 2nd Ed. 2016: 1759-1788 - [e9]Jeffrey O. Kephart, Stephanie Rosenthal, Manuela M. Veloso, Alex Rudnicky:
Symbiotic Cognitive Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Technical Report WS-16-14, AAAI Press 2016 [contents] - 2015
- [j80]Vidal Alcázar, Susana Fernández, Daniel Borrajo, Manuela M. Veloso:
Using random sampling trees for automated planning. AI Commun. 28(4): 665-681 (2015) - [j79]Tekin Meriçli, Manuela M. Veloso, H. Levent Akin:
Push-manipulation of complex passive mobile objects using experimentally acquired motion models. Auton. Robots 38(3): 317-329 (2015) - [j78]Tekin Meriçli, Manuela M. Veloso, H. Levent Akin:
A Case-Based Approach to Mobile Push-Manipulation. J. Intell. Robotic Syst. 80(Supplement-1): 189-203 (2015) - [j77]Vittorio Perera, Robin Soetens, Thomas Kollar, Mehdi Samadi, Yichao Sun, Daniele Nardi, René van de Molengraft, Manuela M. Veloso:
Learning Task Knowledge from Dialog and Web Access. Robotics 4(2): 223-252 (2015) - [c332]Ravi Shroff, Yilong Zha, Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Indoor Trajectory Identification: Snapping with Uncertainty. AAAI Workshop: AI for Cities 2015 - [c331]Kim Baraka, Ana Paiva, Manuela M. Veloso:
Expressive Lights for Revealing Mobile Service Robot State. AAAI Fall Symposia 2015: 17-23 - [c330]Steven D. Klee, Guglielmo Gemignani, Daniele Nardi, Manuela M. Veloso:
Graph-Based Task Libraries for Robots: Generalization and Autocompletion. AI*IA 2015: 397-409 - [c329]Juan Pablo Mendoza, Manuela M. Veloso, Reid G. Simmons:
Detecting and Correcting Model Anomalies in Subspaces of Robot Planning Domains. AAMAS 2015: 1587-1595 - [c328]Guglielmo Gemignani, Steven D. Klee, Manuela M. Veloso, Daniele Nardi:
On Task Recognition and Generalization in Long-Term Robot Teaching. AAMAS 2015: 1879-1880 - [c327]Priyam Parashar, Robert Fisher, Reid G. Simmons, Manuela M. Veloso, Joydeep Biswas:
Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments. ICMLA 2015: 703-706 - [c326]Juan Pablo Mendoza, Manuela M. Veloso, Reid G. Simmons:
Plan execution monitoring through detection of unmet expectations about action outcomes. ICRA 2015: 3247-3252 - [c325]Richard Wang, Matthew K. Mukerjee, Manuela M. Veloso, Srinivasan Seshan:
Wireless map-based handoffs for mobile robots. ICRA 2015: 5545-5550 - [c324]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell:
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. IJCAI 2015: 837-843 - [c323]Vittorio Perera, Manuela M. Veloso:
Handling Complex Commands as Service Robot Task Requests. IJCAI 2015: 1177-1183 - [c322]Manuela M. Veloso, Joydeep Biswas, Brian Coltin, Stephanie Rosenthal:
CoBots: Robust Symbiotic Autonomous Mobile Service Robots. IJCAI 2015: 4423- - [c321]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Using Autonomous Robots to Diagnose Wireless Connectivity. FinE-R@IROS 2015: 11-14 - [c320]Rui Silva, Francisco S. Melo, Manuela M. Veloso:
Towards table tennis with a quadrotor autonomous learning robot and onboard vision. IROS 2015: 649-655 - [c319]Steven D. Klee, Guglielmo Gemignani, Daniele Nardi, Manuela M. Veloso:
Multi-robot task acquisition through sparse coordination. IROS 2015: 2823-2828 - [c318]A. Fernando Ribeiro, Susana Brandão, João Paulo Costeira, Manuela M. Veloso:
Global localization by soft object recognition from 3D Partial Views. IROS 2015: 3709-3714 - [c317]Richard Wang, Ravi Shroff, Yilong Zha, Srinivasan Seshan, Manuela M. Veloso:
Indoor trajectory identification: Snapping with uncertainty. IROS 2015: 4901-4906 - [c316]Heather Knight, Manuela M. Veloso, Reid G. Simmons:
Taking candy from a robot: Speed features and candy accessibility predict human response. RO-MAN 2015: 355-362 - [c315]Guglielmo Gemignani, Manuela M. Veloso, Daniele Nardi:
Language-Based Sensing Descriptors for Robot Object Grounding. RoboCup 2015: 3-15 - [c314]Juan Pablo Mendoza, Joydeep Biswas, Danny Zhu, Richard Wang, Philip Cooksey, Steven D. Klee, Manuela M. Veloso:
CMDragons 2015: Coordinated Offense and Defense of the SSL Champions. RoboCup 2015: 106-117 - [c313]Kim Baraka, Ana Paiva, Manuela M. Veloso:
Expressive Lights for Revealing Mobile Service Robot State. ROBOT (1) 2015: 107-119 - [c312]Tiago Raul de Sousa Pereira, Manuela M. Veloso, António Paulo Moreira:
Multi-robot Planning Using Robot-Dependent Reachability Maps. ROBOT (1) 2015: 189-201 - [c311]Junyun Tay, Somchaya Liemhetcharat, Manuela M. Veloso:
Creating a Multi-robot Stage Production. ROBOT (1) 2015: 743-756 - [c310]Kim Baraka, Manuela M. Veloso:
Adaptive Interaction of Persistent Robots to User Temporal Preferences. ICSR 2015: 61-71 - [c309]Steven D. Klee, Beatriz Quintino Ferreira, Rui Silva, João Paulo Costeira, Francisco S. Melo, Manuela M. Veloso:
Personalized Assistance for Dressing Users. ICSR 2015: 359-369 - [i6]Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng:
Reports from the 2015 AAAI Workshop Program. AI Mag. 36(2): 90-101 (2015) - 2014
- [j76]Somchaya Liemhetcharat, Manuela M. Veloso:
Weighted synergy graphs for effective team formation with heterogeneous ad hoc agents. Artif. Intell. 208: 41-65 (2014) - [j75]Felipe W. Trevizan, Manuela M. Veloso:
Depth-based short-sighted stochastic shortest path problems. Artif. Intell. 216: 179-205 (2014) - [j74]Daniele Nardi, Itsuki Noda, A. Fernando Ribeiro, Peter Stone, Oskar von Stryk, Manuela M. Veloso:
RoboCup Soccer Leagues. AI Mag. 35(3): 77-85 (2014) - [j73]Francesca Rossi, Manuela M. Veloso:
The NY AI summit: a meeting of AI discipline leaders. AI Matters 1(1): 17-19 (2014) - [c308]Susana Brandão, Manuela M. Veloso, João Paulo Costeira:
Multiple Hypothesis for Object Class Disambiguation from Multiple Observations. 3DV 2014: 91-98 - [c307]Brian Coltin, Manuela M. Veloso:
Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search. AAAI 2014: 2250-2256 - [c306]Aijun Bai, Reid G. Simmons, Manuela Veloso, Xiaoping Chen:
Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets. AAAI Fall Symposia 2014 - [c305]Vittorio Perera, Manuela Veloso:
Task Based Dialog For Service Mobile Robot. AAAI Fall Symposia 2014 - [c304]Manuela Veloso:
A Few Issues on Human-Robot Interaction for Multiple Persistent Service Mobile Robots. AAAI Fall Symposia 2014 - [c303]Max Korein, Brian Coltin, Manuela M. Veloso:
Constrained scheduling of robot exploration tasks. AAMAS 2014: 429-436 - [c302]Joydeep Biswas, Juan Pablo Mendoza, Danny Zhu, Benjamin Choi, Steven D. Klee, Manuela M. Veloso:
Opponent-driven planning and execution for pass, attack, and defense in a multi-robot soccer team. AAMAS 2014: 493-500 - [c301]Çetin Meriçli, Steven D. Klee, Jack Paparian, Manuela M. Veloso:
An interactive approach for situated task specification through verbal instructions. AAMAS 2014: 1069-1076 - [c300]Somchaya Liemhetcharat, Manuela M. Veloso:
Team formation with learning agents that improve coordination. AAMAS 2014: 1531-1532 - [c299]Susana Brandão, João Paulo Costeira, Manuela M. Veloso:
The Partial View Heat Kernel descriptor for 3D object representation. ICRA 2014: 1054-1059 - [c298]Juan Pablo Mendoza, Manuela M. Veloso, Reid G. Simmons:
Focused optimization for online detection of anomalous regions. ICRA 2014: 3358-3363 - [c297]Joydeep Biswas, Manuela M. Veloso:
Episodic non-Markov localization: Reasoning about short-term and long-term features. ICRA 2014: 3969-3974 - [c296]Brian Coltin, Manuela M. Veloso:
Online pickup and delivery planning with transfers for mobile robots. ICRA 2014: 5786-5791 - [c295]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
O-Snap: Optimal snapping of odometry trajectories for route identification. ICRA 2014: 5824-5829 - [c294]Grant P. Strimel, Manuela M. Veloso:
Coverage planning with finite resources. IROS 2014: 2950-2956 - [c293]Brian Coltin, Manuela M. Veloso:
Ridesharing with passenger transfers. IROS 2014: 3278-3283 - [c292]Junyun Tay, I-Ming Chen, Manuela M. Veloso:
Fall Prediction for New Sequences of Motions. ISER 2014: 849-864 - [c291]Danny Zhu, Joydeep Biswas, Manuela M. Veloso:
AutoRef: Towards Real-Robot Soccer Complete Automated Refereeing. RoboCup 2014: 419-430 - [c290]Joydeep Biswas, Manuela M. Veloso:
Model-Instance Object Mapping. RoboCup 2014: 525-536 - [c289]Susana Brandão, João Paulo Costeira, Manuela M. Veloso:
Effortless Scanning of 3D Object Models by Boundary Aligning and Stitching. VISAPP (1) 2014: 667-674 - [c288]Susana Brandão, Manuela M. Veloso, João Paulo Costeira:
Probabilistic Object Identification through On-demand Partial Views. VISAPP (3) 2014: 717-722 - [e8]Sven Behnke, Manuela M. Veloso, Arnoud Visser, Rong Xiong:
RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, Eindhoven, The Netherlands, July 1, 2013]. Lecture Notes in Computer Science 8371, Springer 2014, ISBN 978-3-662-44467-2 [contents] - [i5]Sonia Chernova, Manuela M. Veloso:
Interactive Policy Learning through Confidence-Based Autonomy. CoRR abs/1401.3439 (2014) - 2013
- [j72]Brian Coltin, Manuela M. Veloso:
Multi-observation sensor resetting localization with ambiguous landmarks. Auton. Robots 35(2-3): 221-237 (2013) - [j71]Joydeep Biswas, Manuela M. Veloso:
Localization and navigation of the CoBots over long-term deployments. Int. J. Robotics Res. 32(14): 1679-1694 (2013) - [j70]Fernando Fernández, Manuela M. Veloso:
Learning domain structure through probabilistic policy reuse in reinforcement learning. Prog. Artif. Intell. 2(1): 13-27 (2013) - [c287]Mehdi Samadi, Manuela M. Veloso, Manuel Blum:
OpenEval: Web Information Query Evaluation. AAAI 2013: 1163-1169 - [c286]Prashant P. Reddy, Manuela M. Veloso:
Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features. AAAI 2013: 1313-1319 - [c285]Tekin A. Meriçli, Manuela M. Veloso, H. Levent Akin:
Achievable push-manipulation for complex passive mobile objects using past experience. AAMAS 2013: 71-78 - [c284]Somchaya Liemhetcharat, Manuela M. Veloso:
Synergy graphs for configuring robot team members. AAMAS 2013: 111-118 - [c283]Felipe W. Trevizan, Manuela M. Veloso:
Finding objects through stochastic shortest path problems. AAMAS 2013: 547-554 - [c282]Max Korein, Brian Coltin, Manuela M. Veloso:
Scheduling mobile exploration tasks for environment learning. AAMAS 2013: 1255-1256 - [c281]Brian Coltin, Manuela M. Veloso:
Towards ridesharing with passenger transfers. AAMAS 2013: 1299-1300 - [c280]Stephanie Rosenthal, Sarjoun Skaff, Manuela M. Veloso, Dan Bohus, Eric Horvitz:
Execution memory for grounding and coordination. HRI 2013: 213-214 - [c279]Benjamin Choi, Çetin Meriçli, Joydeep Biswas, Manuela M. Veloso:
Fast human detection for indoor mobile robots using depth images. ICRA 2013: 1108-1113 - [c278]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Multi-robot information sharing for complementing limited perception: A case study of moving ball interception. ICRA 2013: 1884-1889 - [c277]Thomas Kollar, Vittorio Perera, Daniele Nardi, Manuela M. Veloso:
Learning environmental knowledge from task-based human-robot dialog. ICRA 2013: 4304-4309 - [c276]Somchaya Liemhetcharat, Manuela M. Veloso:
Forming an effective multi-robot team robust to failures. IROS 2013: 5240-5245 - [c275]Somchaya Liemhetcharat, Manuela M. Veloso:
Learning the synergy of a new teammate. IROS 2013: 5246-5251 - [c274]Richard Wang, Manuela M. Veloso, Srinivasan Seshan:
Iterative Snapping of Odometry Trajectories for Path Identification. RoboCup 2013: 432-443 - [c273]Joydeep Biswas, Manuela M. Veloso:
Multi-sensor Mobile Robot Localization for Diverse Environments. RoboCup 2013: 468-479 - [c272]Stefan Zickler, Tim Laue, José Angelo Gurzoni Jr., Oliver Birbach, Joydeep Biswas, Manuela M. Veloso:
Five Years of SSL-Vision - Impact and Development. RoboCup 2013: 656-663 - 2012
- [j69]Maria Fox, Manuela M. Veloso, Eric Horvitz:
Introducing Worldwide AI. AI Mag. 33(1): 95- (2012) - [j68]Çetin Meriçli, Manuela M. Veloso, H. Levent Akin:
Improving biped walk stability with complementary corrective demonstration. Auton. Robots 32(4): 419-432 (2012) - [j67]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Acquiring Accurate Human Responses to Robots' Questions. Int. J. Soc. Robotics 4(2): 117-129 (2012) - [j66]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Policy Feedback for the Refinement of Learned Motion Control on a Mobile Robot. Int. J. Soc. Robotics 4(4): 383-395 (2012) - [j65]Çetin Meriçli, Manuela M. Veloso, H. Levent Akin:
Multi-resolution Corrective Demonstration for Efficient Task Execution and Refinement. Int. J. Soc. Robotics 4(4): 423-435 (2012) - [j64]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Is Someone in this Office Available to Help Me? - Proactively Seeking Help from Spatially-Situated Humans. J. Intell. Robotic Syst. 66(1-2): 205-221 (2012) - [j63]Somchaya Liemhetcharat, Manuela M. Veloso:
Multi-robot map-merging-free connectivity-based positioning and tethering in unknown environments. Prog. Artif. Intell. 1(1): 3-23 (2012) - [j62]Francisco Martín, Manuela M. Veloso:
Effective real-time visual object detection. Prog. Artif. Intell. 1(4): 259-265 (2012) - [c271]Anna Hristoskova, Carlos E. Agüero, Manuela M. Veloso, Filip De Turck:
Personalized Guided Tour by Multiple Robots through Semantic Profile Definition and Dynamic Redistribution of Participants. CogRob@AAAI 2012 - [c270]Tekin Alp Meriçli, Manuela M. Veloso, H. Levent Akin:
Experience Guided Mobile Manipulation Planning. CogRob@AAAI 2012 - [c269]Prashant P. Reddy, Manuela M. Veloso:
Factored Models for Multiscale Decision-Making in Smart Grid Customers. AAAI 2012: 363-369 - [c268]Stephanie Rosenthal, Manuela M. Veloso:
Mobile Robot Planning to Seek Help with Spatially-Situated Tasks. AAAI 2012: 2067-2073 - [c267]Mehdi Samadi, Thomas Kollar, Manuela M. Veloso:
Using the Web to Interactively Learn to Find Objects. AAAI 2012: 2074-2080 - [c266]Guangyu Xia, Roger B. Dannenberg, Junyun Tay, Manuela M. Veloso:
Autonomous robot dancing driven by beats and emotions of music. AAMAS 2012: 205-212 - [c265]Somchaya Liemhetcharat, Manuela M. Veloso:
Modeling and learning synergy for team formation with heterogeneous agents. AAMAS 2012: 365-374 - [c264]Thomas Kollar, Mehdi Samadi, Manuela M. Veloso:
Enabling robots to find and fetch objects by querying the web. AAMAS 2012: 1217-1218 - [c263]Felipe W. Trevizan, Manuela M. Veloso:
Short-Sighted Stochastic Shortest Path Problems. ICAPS 2012 - [c262]Brian Coltin, Manuela M. Veloso:
Optimizing for Transfers in a Multi-vehicle Collection and Delivery Problem. DARS 2012: 91-103 - [c261]Joydeep Biswas, Manuela M. Veloso:
Depth camera based indoor mobile robot localization and navigation. ICRA 2012: 1697-1702 - [c260]Çetin Meriçli, Manuela M. Veloso, H. Levent Akin:
Efficient task execution and refinement through multi-resolution corrective demonstration. ICRA 2012: 1805-1810 - [c259]Juan Pablo Mendoza, Manuela M. Veloso, Reid G. Simmons:
Motion interference detection in mobile robots. IROS 2012: 370-375 - [c258]Joydeep Biswas, Manuela M. Veloso:
Planar polygon extraction and merging from depth images. IROS 2012: 3859-3864 - [c257]Somchaya Liemhetcharat, Manuela M. Veloso:
Weighted synergy graphs for role assignment in ad hoc heterogeneous robot teams. IROS 2012: 5247-5254 - [c256]Manuela M. Veloso, Joydeep Biswas, Brian Coltin, Stephanie Rosenthal, Thomas Kollar, Çetin Meriçli, Mehdi Samadi, Susana Brandão, Rodrigo Ventura:
CoBots: Collaborative robots servicing multi-floor buildings. IROS 2012: 5446-5447 - [c255]Manuela M. Veloso, Peter Stone:
Video: RoboCup robot soccer history 1997 - 2011. IROS 2012: 5452-5453 - [c254]Felipe W. Trevizan, Manuela M. Veloso:
Trajectory-Based Short-Sighted Probabilistic Planning. NIPS 2012: 3257-3265 - [c253]Carlos E. Agüero, Manuela M. Veloso:
Transparent Multi-Robot Communication Exchange for Executing Robot Behaviors. PAAMS (Special Sessions) 2012: 215-222 - [c252]Junyun Tay, Manuela M. Veloso:
Modeling and composing gestures for human-robot interaction. RO-MAN 2012: 107-112 - [c251]Stephanie Rosenthal, Manuela M. Veloso:
Monte Carlo preference elicitation for learning additive reward functions. RO-MAN 2012: 886-891 - [c250]Thomas Kollar, Anu Vedantham, Corey Sobel, Cory Chang, Vittorio Perera, Manuela M. Veloso:
A Multi-modal Approach for Natural Human-Robot Interaction. ICSR 2012: 458-467 - 2011
- [j61]Francisco S. Melo, Manuela M. Veloso:
Decentralized MDPs with sparse interactions. Artif. Intell. 175(11): 1757-1789 (2011) - [j60]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Teacher feedback to scaffold and refine demonstrated motion primitives on a mobile robot. Robotics Auton. Syst. 59(3-4): 243-255 (2011) - [c249]Brian Coltin, Manuela M. Veloso, Rodrigo Ventura:
Dynamic User Task Scheduling for Mobile Robots. Automated Action Planning for Autonomous Mobile Robots 2011 - [c248]Prashant P. Reddy, Manuela M. Veloso:
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets. AAAI 2011: 1396-1401 - [c247]Brian Coltin, Manuela M. Veloso:
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks. AAAI 2011: 1462-1467 - [c246]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Learning Accuracy and Availability of Humans Who Help Mobile Robots. AAAI 2011: 1501-1506 - [c245]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Task Behavior and Interaction Planning for a Mobile Service Robot that Occasionally Requires Help. Automated Action Planning for Autonomous Mobile Robots 2011 - [c244]Can Erdogan, Manuela M. Veloso:
Action Selection via Learning Behavior Patterns in Multi-Robot Systems. IJCAI 2011: 192-197 - [c243]Prashant P. Reddy, Manuela M. Veloso:
Strategy Learning for Autonomous Agents in Smart Grid Markets. IJCAI 2011: 1446-1451 - [c242]Joydeep Biswas, Brian Coltin, Manuela M. Veloso:
Corrective gradient refinement for mobile robot localization. IROS 2011: 73-78 - [c241]Prashant P. Reddy, Manuela M. Veloso:
RSSI-based physical layout classification and Target Tethering in mobile ad-hoc networks. IROS 2011: 2327-2332 - [c240]Somchaya Liemhetcharat, Manuela M. Veloso:
Modeling mutual capabilities in heterogeneous teams for role assignment. IROS 2011: 3638-3644 - [c239]Stephanie Rosenthal, Anind K. Dey, Manuela M. Veloso:
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models. Pervasive 2011: 170-187 - [c238]Stephanie Rosenthal, Manuela M. Veloso:
Modeling humans as observation providers using POMDPs. RO-MAN 2011: 53-58 - [c237]Brian Coltin, Joydeep Biswas, Dean Pomerleau, Manuela M. Veloso:
Effective Semi-autonomous Telepresence. RoboCup 2011: 365-376 - [c236]Susana Brandão, Manuela M. Veloso, João Paulo Costeira:
Fast Object Detection by Regression in Robot Soccer. RoboCup 2011: 550-561 - [c235]Vidal Alcázar, Manuela M. Veloso, Daniel Borrajo:
Adapting a Rapidly-Exploring Random Tree for Automated Planning. SOCS 2011: 2-9 - [i4]Rune Møller Jensen, Manuela M. Veloso:
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains. CoRR abs/1106.0229 (2011) - [i3]Michael H. Bowling, Manuela M. Veloso:
Existence of Multiagent Equilibria with Limited Agents. CoRR abs/1107.0033 (2011) - 2010
- [j59]Sonia Chernova, Manuela M. Veloso:
Confidence-Based Multi-Robot Learning from Demonstration. Int. J. Soc. Robotics 2(2): 195-215 (2010) - [j58]Fernando Fernández, Javier García, Manuela M. Veloso:
Probabilistic Policy Reuse for inter-task transfer learning. Robotics Auton. Syst. 58(7): 866-871 (2010) - [c234]Çetin Meriçli, Manuela M. Veloso:
Biped Walk Learning Through Playback and Corrective Demonstration. AAAI 2010: 1594-1599 - [c233]Çetin Meriçli, Manuela M. Veloso:
Increasing Biped Walk Robustness Through Playback and Corrective Demonstration. Enabling Intelligence through Middleware 2010 - [c232]Stephanie Rosenthal, Manuela M. Veloso:
Mixed-Initiative Long-Term Interactions with an All-Day-Companion Robot. AAAI Fall Symposium: Dialog with Robots 2010 - [c231]Stephanie Rosenthal, Joydeep Biswas, Manuela M. Veloso:
An effective personal mobile robot agent through symbiotic human-robot interaction. AAMAS 2010: 915-922 - [c230]Francisco S. Melo, Manuela M. Veloso:
Approximate planning for decentralized MDPs with sparse interactions. AAMAS 2010: 1389-1390 - [c229]Somchaya Liemhetcharat, Manuela M. Veloso:
Mutual state capability-based role assignment model. AAMAS 2010: 1509-1510 - [c228]Francisco S. Melo, Manuela M. Veloso:
Heuristic Planning for Decentralized MDPs with Sparse Interactions. DARS 2010: 329-343 - [c227]Stefan Zickler, Manuela M. Veloso:
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies. ECAI 2010: 189-194 - [c226]Çetin Meriçli, Manuela M. Veloso, H. Levent Akin:
Complementary humanoid behavior shaping using corrective demonstration. Humanoids 2010: 334-339 - [c225]Brian Coltin, Somchaya Liemhetcharat, Çetin Meriçli, Junyun Tay, Manuela M. Veloso:
Multi-humanoid world modeling in Standard Platform robot soccer. Humanoids 2010: 424-429 - [c224]Joydeep Biswas, Manuela M. Veloso:
WiFi localization and navigation for autonomous indoor mobile robots. ICRA 2010: 4379-4384 - [c223]Stefan Zickler, Manuela M. Veloso:
RSS-based relative localization and tethering for moving robots in unknown environments. ICRA 2010: 5466-5471 - [c222]Brian Coltin, Manuela M. Veloso:
Mobile robot task allocation in hybrid wireless sensor networks. IROS 2010: 2932-2937 - [c221]Sarah S. Aboutalib, Manuela M. Veloso:
Multiple-Cue Object Recognition on outside datasets. IROS 2010: 4554-4559 - [c220]Çetin Meriçli, Manuela M. Veloso:
Improving Biped Walk Stability Using Real-Time Corrective Human Feedback. RoboCup 2010: 194-205 - [c219]Harini Veeraraghavan, Roman Vaculín, Manuela M. Veloso:
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions. Web Intelligence 2010: 581-588 - [p2]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Mobile Robot Motion Control from Demonstration and Corrective Feedback. From Motor Learning to Interaction Learning in Robots 2010: 431-450
2000 – 2009
- 2009
- [j57]Raquel Ros, Josep Lluís Arcos, Ramón López de Mántaras, Manuela M. Veloso:
A case-based approach for coordinated action selection in robot soccer. Artif. Intell. 173(9-10): 1014-1039 (2009) - [j56]Stefan Zickler, Manuela M. Veloso:
Tactics-Based Behavioural Planning for Goal-Driven Rigid Body Control. Comput. Graph. Forum 28(8): 2302-2314 (2009) - [j55]Paul E. Rybski, Manuela M. Veloso:
Prioritized Multihypothesis Tracking by a Robot with Limited Sensing. EURASIP J. Adv. Signal Process. 2009 (2009) - [j54]Yang Gu, Manuela M. Veloso:
Effective Multi-Model Motion Tracking using Action Models. Int. J. Robotics Res. 28(1): 3-19 (2009) - [j53]Sonia Chernova, Manuela M. Veloso:
Interactive Policy Learning through Confidence-Based Autonomy. J. Artif. Intell. Res. 34: 1-25 (2009) - [j52]Brenna D. Argall, Sonia Chernova, Manuela M. Veloso, Brett Browning:
A survey of robot learning from demonstration. Robotics Auton. Syst. 57(5): 469-483 (2009) - [c218]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning Robot Motion Control from Demonstration and Human Advice. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 8-15 - [c217]Sonia Chernova, Manuela M. Veloso:
A Confidence-Based Approach to Multi-Robot Learning from Demonstration. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 20-27 - [c216]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Asking Questions and Developing Trust. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 133-140 - [c215]Stefan Zickler, Manuela M. Veloso:
Efficient physics-based planning: sampling search via non-deterministic tactics and skills. AAMAS (1) 2009: 27-33 - [c214]Francisco S. Melo, Manuela M. Veloso:
Learning of coordination: exploiting sparse interactions in multiagent systems. AAMAS (2) 2009: 773-780 - [c213]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Automatic weight learning for multiple data sources when learning from demonstration. ICRA 2009: 226-231 - [c212]Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Online Selection of Mediated and Domain-Specific Predictions for Improved Recommender Systems. ITWP 2009 - [c211]Sarah S. Aboutalib, Manuela M. Veloso:
Cue-based equivalence classes and incremental discrimination for multi-cue recognition of "interactionable" objects. IROS 2009: 1013-1018 - [c210]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning Mobile Robot Motion Control from Demonstrated Primitives and Human Feedback. ISRR 2009: 417-432 - [c209]Stephanie Rosenthal, Anind K. Dey, Manuela M. Veloso:
How robots' questions affect the accuracy of the human responses. RO-MAN 2009: 1137-1142 - [c208]Stefan Zickler, Tim Laue, Oliver Birbach, Mahisorn Wongphati, Manuela M. Veloso:
SSL-Vision: The Shared Vision System for the RoboCup Small Size League. RoboCup 2009: 425-436 - 2008
- [j51]Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant:
State-set branching: Leveraging BDDs for heuristic search. Artif. Intell. 172(2-3): 103-139 (2008) - [j50]Manuela M. Veloso, Nicholas Armstrong-Crews, Sonia Chernova, Elisabeth Crawford, Colin McMillen, Maayan Roth, Douglas L. Vail, Stefan Zickler:
A Team of Humanoid Game commentators. Int. J. Humanoid Robotics 5(3): 457-480 (2008) - [j49]Paul E. Rybski, Jeremy Stolarz, Kevin Yoon, Manuela M. Veloso:
Using dialog and human observations to dictate tasks to a learning robot assistant. Intell. Serv. Robotics 1(2): 159-167 (2008) - [c207]Colin McMillen, Manuela M. Veloso:
Unknown Rewards in Finite-Horizon Domains. AAAI 2008: 963-968 - [c206]Douglas L. Vail, Manuela M. Veloso:
Feature Selection for Activity Recognition in Multi-Robot Domains. AAAI 2008: 1415-1420 - [c205]Sonia Chernova, Manuela M. Veloso:
Teaching multi-robot coordination using demonstration of communication and state sharing. AAMAS (3) 2008: 1183-1186 - [c204]Harini Veeraraghavan, Manuela M. Veloso:
Teaching sequential tasks with repetition through demonstration. AAMAS (3) 2008: 1357-1360 - [c203]Anne Rozinat, Stefan Zickler, Manuela Veloso, Wil M. P. van der Aalst, Colin McMillen:
Analyzing Multi-agent Activity Logs Using Process Mining Techniques. DARS 2008: 251-260 - [c202]Colin McMillen, Manuela Veloso:
Analysis of Multi-robot Play Effectiveness and of Distributed Incidental Play Recognition. DARS 2008: 283-294 - [c201]Sonia Chernova, Manuela M. Veloso:
Multi-thresholded approach to demonstration selection for interactive robot learning. HRI 2008: 225-232 - [c200]Sonia Chernova, Manuela M. Veloso:
Teaching collaborative multi-robot tasks through demonstration. Humanoids 2008: 385-390 - [c199]Elisabeth Crawford, Manuela M. Veloso:
Negotiation in Semi-cooperative Agreement Problems. IAT 2008: 252-258 - [c198]Yang Gu, Manuela M. Veloso:
Learning tactic-based motion models with fast particle smoothing. ICRA 2008: 3340-3345 - [c197]Nicholas Armstrong-Crews, Manuela M. Veloso:
An approximate algorithm for solving oracular POMDPs. ICRA 2008: 3346-3352 - [c196]James Bruce, Stefan Zickler, Mmichael Licitra, Manuela M. Veloso:
CMDragons: Dynamic passing and strategy on a champion robot soccer team. ICRA 2008: 4074-4079 - [c195]Jinsu Liu, Manuela M. Veloso:
Online ZMP sampling search for biped walking planning. IROS 2008: 185-190 - [c194]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning robot motion control with demonstration and advice-operators. IROS 2008: 399-404 - [c193]Sonia Chernova, Manuela M. Veloso:
Learning equivalent action choices from demonstration. IROS 2008: 1216-1221 - [c192]Harini Veeraraghavan, Manuela M. Veloso:
Learning task specific plans through sound and visually interpretable demonstrations. IROS 2008: 2599-2604 - [c191]Mike Phillips, Manuela M. Veloso:
Robust Supporting Role in Coordinated Two-Robot Soccer Attack. RoboCup 2008: 235-246 - [c190]Stefan Zickler, Manuela M. Veloso:
Playing Creative Soccer: Randomized Behavioral Kinodynamic Planning of Robot Tactics. RoboCup 2008: 414-425 - 2007
- [j48]Elisabeth Crawford, Manuela M. Veloso:
An experts approach to strategy selection in multiagent meeting scheduling. Auton. Agents Multi Agent Syst. 15(1): 5-28 (2007) - [j47]Manuela M. Veloso:
A Report on the IJCAI-07 Program. AI Mag. 28(2): 137-140 (2007) - [j46]Susana Fernández, Daniel Borrajo, Raquel Fuentetaja, Juan D. Arias, Manuela M. Veloso:
PLTOOL: A knowledge engineering tool for planning and learning. Knowl. Eng. Rev. 22(2): 153-184 (2007) - [c189]Colin McMillen, Manuela M. Veloso:
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games. AAAI 2007: 1250-1255 - [c188]Raquel Ros, Manuela M. Veloso, Ramón López de Mántaras, Carles Sierra, Josep Lluís Arcos:
Beyond Individualism: Modeling Team Playing Behavior in Robot Soccer through Case-Based Reasoning. AAAI 2007: 1671-1674 - [c187]Manuela M. Veloso:
Learning to Select Team Strategies in Finite-Timed Zero-Sum Games. AI*IA 2007: 1 - [c186]Maayan Roth, Reid G. Simmons, Manuela M. Veloso:
Exploiting factored representations for decentralized execution in multiagent teams. AAMAS 2007: 72 - [c185]Sarah S. Aboutalib, Manuela M. Veloso:
Towards using multiple cues for robust object recognition. AAMAS 2007: 189 - [c184]Raquel Ros, Manuela M. Veloso:
Executing multi-robot cases through a single coordinator. AAMAS 2007: 215 - [c183]Sonia Chernova, Manuela M. Veloso:
Confidence-based policy learning from demonstration using Gaussian mixture models. AAMAS 2007: 233 - [c182]Douglas L. Vail, Manuela M. Veloso, John D. Lafferty:
Conditional random fields for activity recognition. AAMAS 2007: 235 - [c181]Yang Gu, Manuela M. Veloso:
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering. CIRA 2007: 1-6 - [c180]Paul E. Rybski, Kevin Yoon, Jeremy Stolarz, Manuela M. Veloso:
Interactive robot task training through dialog and demonstration. HRI 2007: 49-56 - [c179]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning by demonstration with critique from a human teacher. HRI 2007: 57-64 - [c178]Raquel Ros, Ramón López de Mántaras, Josep Lluís Arcos, Manuela M. Veloso:
Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach. ICCBR 2007: 46-60 - [c177]Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning to Select State Machines using Expert Advice on an Autonomous Robot. ICRA 2007: 2124-2129 - [c176]Nicholas Armstrong-Crews, Manuela M. Veloso:
Oracular Partially Observable Markov Decision Processes: A Very Special Case. ICRA 2007: 2477-2482 - [c175]Sarah S. Aboutalib, Manuela M. Veloso:
Simulation and weights of multiple cues for robust object recognition. IROS 2007: 2409-2414 - [c174]Douglas L. Vail, John D. Lafferty, Manuela M. Veloso:
Feature selection in conditional random fields for activity recognition. IROS 2007: 3379-3384 - [e7]Manuela M. Veloso:
IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007. 2007 [contents] - 2006
- [j45]Patrick Riley, Manuela M. Veloso:
Coach planning with opponent models for distributed execution. Auton. Agents Multi Agent Syst. 13(3): 293-325 (2006) - [j44]Manuela M. Veloso, Paul E. Rybski, Scott Lenser, Sonia Chernova, Douglas L. Vail:
CMRoboBits: Creating an Intelligent AIBO Robot. AI Mag. 27(1): 67-82 (2006) - [j43]James Bruce, Manuela M. Veloso:
Safe Multirobot Navigation Within Dynamics Constraints. Proc. IEEE 94(7): 1398-1411 (2006) - [j42]Elisabeth Crawford, Manuela M. Veloso:
Mechanism design for multi-agent meeting scheduling. Web Intell. Agent Syst. 4(2): 209-220 (2006) - [c173]Manuela M. Veloso:
Integrated Intelligence: RobotS Are Here to Stay. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 1 - [c172]M. Bernardine Dias, Thomas K. Harris, Brett Browning, Edward Gil Jones, Brenna D. Argall, Manuela M. Veloso, Anthony Stentz, Alexander I. Rudnicky:
Dynamically Formed Human-Robot Teams Performing Coordinated Tasks. AAAI Spring Symposium: To Boldly Go Where No Human-Robot Team Has Gone Before 2006: 30-38 - [c171]Fernando Fernández, Manuela M. Veloso:
Reusing and Building a Policy Library. ICAPS 2006: 378-381 - [c170]Yang Gu, Manuela M. Veloso:
Multi-model motion tracking under multiple team member actuators. AAMAS 2006: 449-456 - [c169]Fernando Fernández, Manuela M. Veloso:
Probabilistic policy reuse in a reinforcement learning agent. AAMAS 2006: 720-727 - [c168]Colin McMillen, Manuela Veloso:
Distributed, Play-Based Role Assignment for Robot Teams in Dynamic Environments. DARS 2006: 145-154 - [c167]Maayan Roth, Reid G. Simmons, Manuela Veloso:
What to Communicate? Execution-Time Decision in Multi-agent POMDPs. DARS 2006: 177-186 - [c166]Raquel Ros, Manuela M. Veloso, Ramón López de Mántaras, Carles Sierra, Josep Lluís Arcos:
Retrieving and Reusing Game Plays for Robot Soccer. ECCBR 2006: 47-61 - [c165]Manuela M. Veloso, Paul E. Rybski, Felix von Hundelshausen:
FOCUS: a generalized method for object discovery for robots that observe and interact with humans. HRI 2006: 102-109 - [c164]Yang Gu, Manuela M. Veloso:
Effective team-driven multi-model motion tracking. HRI 2006: 210-217 - [c163]Brenna D. Argall, Yang Gu, Brett Browning, Manuela M. Veloso:
The first segway soccer experience: towards peer-to-peer human-robot teams. HRI 2006: 321-322 - [c162]Stefan Zickler, Manuela M. Veloso:
Detection and Localization of Multiple Objects. Humanoids 2006: 20-25 - [c161]Manuela M. Veloso, Nicholas Armstrong-Crews, Sonia Chernova, Elisabeth Crawford, Colin McMillen, Maayan Roth, Douglas L. Vail:
A Team of Humanoid Game Commentators. Humanoids 2006: 228-233 - [c160]Carlos Vallespí, Fernando De la Torre, Manuela M. Veloso, Takeo Kanade:
Automatic Clustering of Faces in Meetings. ICIP 2006: 1841-1844 - [c159]Edward Gil Jones, Brett Browning, M. Bernardine Dias, Brenna D. Argall, Manuela M. Veloso, Anthony Stentz:
Dynamically formed Heterogeneous Robot Teams Performing Tightly-coordinated Tasks. ICRA 2006: 570-575 - [c158]Yang Gu, Manuela M. Veloso:
Multi-model Tracking using Team Actuation Models. ICRA 2006: 2751-2756 - [c157]Juan Fasola, Manuela M. Veloso:
Real-time Object Detection using Segmented and Grayscale Images. ICRA 2006: 4088-4093 - [c156]Yang Gu, Manuela M. Veloso:
Team-Driven Multi-Model Motion Tracking with Communication. IROS 2006: 2839-2844 - [c155]Felix von Hundelshausen, Manuela M. Veloso:
Active Monte Carlo Recognition. KI 2006: 229-243 - [c154]Ryota Nakanishi, James Bruce, Kazuhito Murakami, Tadashi Naruse, Manuela M. Veloso:
Cooperative 3-Robot Passing and Shooting in the RoboCup Small Size League. RoboCup 2006: 418-425 - [c153]Colin McMillen, Manuela M. Veloso:
Distributed, Play-Based Coordination for Robot Teams in Dynamic Environments. RoboCup 2006: 483-490 - [c152]James Bruce, Manuela M. Veloso:
Real-Time Randomized Motion Planning for Multiple Domains. RoboCup 2006: 532-539 - [e6]Hans-Dieter Burkhard, Martin A. Riedmiller, Uwe Schwiegelshohn, Manuela M. Veloso:
Multi-Robot Systems: Perception, Behaviors, Learning, and Action, 19.06. - 23.06.2006. Dagstuhl Seminar Proceedings 06251, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - [i2]Hans-Dieter Burkhard, Martin A. Riedmiller, Uwe Schwiegelshohn, Manuela M. Veloso:
06251 Abstracts Collection - Multi-Robot Systems: Perception, Behaviors, Learning, and Action. Multi-Robot Systems: Perception, Behaviors, Learning, and Action 2006 - 2005
- [j41]Manuela M. Veloso, Subbarao Kambhampati:
The Twentieth National Conference on Artificial Intelligence. AI Mag. 26(4): 100-101 (2005) - [j40]Brett Browning, Jeremy Searock, Paul E. Rybski, Manuela M. Veloso:
Turning Segways into soccer robots. Ind. Robot 32(2): 149-156 (2005) - [j39]Markus Püschel, José M. F. Moura, Jeremy R. Johnson, David A. Padua, Manuela M. Veloso, Bryan Singer, Jianxin Xiong, Franz Franchetti, Aca Gacic, Yevgen Voronenko, Kang Chen, Robert W. Johnson, Nicholas Rizzolo:
SPIRAL: Code Generation for DSP Transforms. Proc. IEEE 93(2): 232-275 (2005) - [c151]Pragnesh Jay Modi, Manuela M. Veloso:
Bumping Strategies for the Private Incremental Multiagent Agreement Problem. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 47-54 - [c150]Pragnesh Jay Modi, Manuela M. Veloso:
Bumping strategies for the multiagent agreement problem. AAMAS 2005: 390-396 - [c149]Maayan Roth, Reid G. Simmons, Manuela M. Veloso:
Reasoning about joint beliefs for execution-time communication decisions. AAMAS 2005: 786-793 - [c148]Paul E. Rybski, Manuela M. Veloso:
Robust Real-Time Human Activity Recognition from Tracked Face Displacements. EPIA 2005: 87-98 - [c147]Sonia Chernova, Elisabeth Crawford, Manuela M. Veloso:
Acquiring Observation Models Through Reverse Plan Monitoring. EPIA 2005: 410-421 - [c146]Elisabeth Crawford, Manuela M. Veloso:
Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling. EPIA 2005: 584-595 - [c145]Manuela M. Veloso, Felix von Hundelshausen, Paul E. Rybski:
Learning visual object definitions by observing human activities. Humanoids 2005: 148-153 - [c144]Elisabeth Crawford, Manuela M. Veloso:
Learning Dynamic Preferences in Multi-Agent Meeting Scheduling. IAT 2005: 487-490 - [c143]Scott Lenser, Manuela M. Veloso:
Non-Parametric Time Series Classification. ICRA 2005: 3918-3923 - [c142]Fernando De la Torre, Carlos Vallespí, Paul E. Rybski, Manuela M. Veloso, Takeo Kanade:
Learning to Track Multiple People in Omnidirectional Video. ICRA 2005: 4150-4155 - [c141]Brett Browning, Manuela M. Veloso:
Real-time, adaptive color-based robot vision. IROS 2005: 3871-3876 - [e5]Manuela M. Veloso, Subbarao Kambhampati:
Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA. AAAI Press / The MIT Press 2005, ISBN 1-57735-236-X [contents] - 2004
- [j38]Markus Püschel, José M. F. Moura, Bryan Singer, Jianxin Xiong, Jeremy Johnson, David A. Padua, Manuela M. Veloso, Robert W. Johnson:
Spiral: A Generator for Platform-Adapted Libraries of Signal Processing Alogorithms. Int. J. High Perform. Comput. Appl. 18(1): 21-45 (2004) - [j37]Michael H. Bowling, Manuela M. Veloso:
Existence of Multiagent Equilibria with Limited Agents. J. Artif. Intell. Res. 22: 353-384 (2004) - [c140]Brett Browning, Ling Xu, Manuela M. Veloso:
Skill Acquisition and Use for a Dynamically-Balancing Soccer Robot. AAAI 2004: 599-604 - [c139]Patrick Riley, Manuela M. Veloso:
Advice Generation from Observed Execution: Abstract Markov Decision Process Learning. AAAI 2004: 631-637 - [c138]Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. Smith, Jean Oh:
CMRadar: A Personal Assistant Agent for Calendar Management. AAAI 2004: 1020-1021 - [c137]Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning:
CAMEO: Modeling Human Activity in Formal Meeting Situations. AAAI 2004: 1032-1033 - [c136]Elisabeth Crawford, Manuela Veloso:
Opportunities for Learning in Multi-Agent Meeting Scheduling. AAAI Technical Report (2) 2004: 96-102 - [c135]Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant:
Fault Tolerant Planning: Toward Probabilistic Uncertainty Models in Symbolic Non-Deterministic Planning. ICAPS 2004: 335-344 - [c134]Michael H. Bowling, Brett Browning, Manuela M. Veloso:
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. ICAPS 2004: 376-383 - [c133]Pragnesh Jay Modi, Manuela M. Veloso, Stephen F. Smith, Jean Oh:
CMRadar: A Personal Assistant Agent for Calendar Management. AOIS 2004: 169-181 - [c132]Thuc Vu, Manuela M. Veloso:
High-Level Behavior Programming. AAMAS 2004: 1384-1385 - [c131]Jared Go, Brett Browning, Manuela M. Veloso:
Accurate and Flexible Simulation for Dynamic, Vision-Centric Robot. AAMAS 2004: 1388-1389 - [c130]Elisabeth Crawford, Manuela M. Veloso:
Mechanism Design for Multi-Agent Meeting Scheduling Including Time Preferences, Availability, and Value of Presence. IAT 2004: 253-259 - [c129]Paul E. Rybski, Satanjeev Banerjee, Fernando De la Torre, Carlos Vallespí, Alexander I. Rudnicky, Manuela M. Veloso:
Segmentation and classification of meetings using multiple information streams. ICMI 2004: 335-336 - [c128]Paul E. Rybski, Fernando De la Torre, Raju Patil, Carlos Vallespí, Manuela M. Veloso, Brett Browning:
CAMEO: Camera Assisted Meeting Event Observer. ICRA 2004: 1634-1639 - [c127]Brett Browning, Paul E. Rybski, Jeremy Searock, Manuela M. Veloso:
Development of a Soccer-playing Dynamically-balancing Mobile Robot. ICRA 2004: 1752-1757 - [c126]Sonia Chernova, Manuela M. Veloso:
Learning and using Models of Kicking Motions for Legged Robots. ICRA 2004: 4651-4655 - [c125]Jeremy Lawrence Searock, Brett Browning, Manuela M. Veloso:
Turning Segways into soccer robots. IROS 2004: 1029-1034 - [c124]Raju Patil, Paul E. Rybski, Takeo Kanade, Manuela M. Veloso:
People detection and tracking in high resolution panoramic video mosaic. IROS 2004: 1323-1328 - [c123]Sonia Chernova, Manuela M. Veloso:
An evolutionary approach to gait learning for four-legged robots. IROS 2004: 2562-2567 - [c122]Scott Raymond Lenser, Manuela M. Veloso:
Classification of robotic sensor streams using non-parametric statistics. IROS 2004: 2719-2724 - [c121]John Davin, Patrick Riley, Manuela M. Veloso:
CommLang: Communication for Coachable Agents. RoboCup 2004: 46-59 - [c120]Jeremy Searock, Brett Browning, Manuela M. Veloso:
Turning Segways into Robust Human-Scale Dynamically Balanced Soccer Robots. RoboCup 2004: 60-71 - 2003
- [c119]Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant:
Guided Symbolic Universal Planning. ICAPS 2003: 123-132 - [c118]Thuc Vu, Jared Go, Gal A. Kaminka, Manuela M. Veloso, Brett Browning:
MONAD: a flexible architecture for multi-agent control. AAMAS 2003: 449-456 - [c117]Patrick Riley, Manuela M. Veloso:
An overview of coaching with limitations. AAMAS 2003: 1110-1111 - [c116]Elly Winner, Manuela M. Veloso:
DISTILL: Learning Domain-Specific Planners by Example. ICML 2003: 800-807 - [c115]James Bruce, Manuela M. Veloso:
Fast and accurate vision-based pattern detection and identification. ICRA 2003: 1277-1282 - [c114]Scott Lenser, Manuela M. Veloso:
Automatic detection and response to environmental change. ICRA 2003: 1416-1421 - [c113]James Bruce, Michael H. Bowling, Brett Browning, Manuela M. Veloso:
Multi-robot team response to a multi-robot opponent team. ICRA 2003: 2281-2286 - [c112]Michael H. Bowling, Manuela M. Veloso:
Simultaneous Adversarial Multi-Robot Learning. IJCAI 2003: 699-704 - [c111]Michael H. Bowling, Rune Møller Jensen, Manuela M. Veloso:
A Formalization of Equilibria for Multiagent Planning. IJCAI 2003: 1460-1462 - [c110]Scott Lenser, Manuela M. Veloso:
Visual sonar: fast obstacle avoidance using monocular vision. IROS 2003: 886-891 - [c109]Maayan Roth, Douglas L. Vail, Manuela M. Veloso:
A real-time world model for multi-robot teams with high-latency communication. IROS 2003: 2494-2499 - [c108]Hans-Dieter Burkhard, Minoru Asada, Andrea Bonarini, Adam Jacoff, Daniele Nardi, Martin A. Riedmiller, Claude Sammut, Elizabeth Sklar, Manuela M. Veloso:
RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. RoboCup 2003: 15-34 - [c107]Patrick Riley, Manuela M. Veloso:
Coaching Advice and Adaptation. RoboCup 2003: 192-204 - [c106]Michael H. Bowling, Brett Browning, Allen Chang, Manuela M. Veloso:
Plays as Team Plans for Coordination and Adaptation. RoboCup 2003: 686-693 - 2002
- [j36]Michael H. Bowling, Manuela M. Veloso:
Multiagent learning using a variable learning rate. Artif. Intell. 136(2): 215-250 (2002) - [j35]Manuela M. Veloso, Tucker R. Balch, Peter Stone, Hiroaki Kitano, Fuminori Yamasaki, Ken Endo, Minoru Asada, Mansour Jamzad, Sayyed Bashir Sadjad, Vahab S. Mirrokni, Moslem Kazemi, Hamid Reza Chitsaz, Abbas Heydarnoori, Mohammad Taghi Hajiaghayi, Ehsan Chiniforooshan:
RoboCup-2001: The Fifth Robotic Soccer World Championships. AI Mag. 23(1): 55-68 (2002) - [j34]Gal A. Kaminka, Manuela M. Veloso, Steve Schaffer, Chris Sollitto, Rogelio Adobbati, Andrew N. Marshall, Andrew Scholer, Sheila Tejada:
GameBots: a flexible test bed for multiagent team research. Commun. ACM 45(1): 43-45 (2002) - [j33]Manuela M. Veloso:
Entertainment robotics. Commun. ACM 45(3): 59-63 (2002) - [j32]Bryan Singer, Manuela M. Veloso:
Learning to Construct Fast Signal Processing Implementations. J. Mach. Learn. Res. 3: 887-919 (2002) - [j31]Pedro U. Lima, Tucker R. Balch, Masahiro Fujita, Raúl Rojas, Manuela M. Veloso, Holly A. Yanco:
RoboCup 2001. IEEE Robotics Autom. Mag. 9(2): 20-30 (2002) - [j30]Bryan Singer, Manuela M. Veloso:
Automating the modeling and optimization of the performance of signal transforms. IEEE Trans. Signal Process. 50(8): 2003-2014 (2002) - [c105]Rune Møller Jensen, Randal E. Bryant, Manuela M. Veloso:
SetA*: An Efficient BDD-Based Heuristic Search Algorithm. AAAI/IAAI 2002: 668-673 - [c104]William T. B. Uther, Manuela M. Veloso:
TTree: Tree-Based State Generalization with Temporally Abstract Actions. Adaptive Agents and Multi-Agents Systems 2002: 260-290 - [c103]Elly Winner, Manuela M. Veloso:
Analyzing Plans with Conditional Effects. AIPS 2002: 23-33 - [c102]Patrick Riley, Manuela M. Veloso:
Planning for Distributed Execution through Use of Probabilistic Opponent Models. AIPS 2002: 72-82 - [c101]Patrick Riley, Manuela M. Veloso, Gal A. Kaminka:
Towards any-team coaching in adversarial domains. AAMAS 2002: 1145-1146 - [c100]Patrick Riley, Manuela Veloso, Gal A. Kaminka:
An Empirical Study of Coaching. DARS 2002: 215-224 - [c99]Brett Browning, Gal A. Kaminka, Manuela M. Veloso:
Principled Monitoring of Distributed Agents for Detection of Coordination Failure. DARS 2002: 319-328 - [c98]Brett Browning, Michael H. Bowling, Manuela M. Veloso:
Improbability Filtering for Rejecting False Positives. ICRA 2002: 3038-3043 - [c97]James Bruce, Manuela M. Veloso:
Real-time randomized path planning for robot navigation. IROS 2002: 2383-2388 - [c96]Gal A. Kaminka, Mehmet Fidanboylu, Allen Chang, Manuela M. Veloso:
Learning the Sequential Coordinated Behavior of Teams from Observations. RoboCup 2002: 111-125 - [c95]Paul Carpenter, Patrick Riley, Manuela M. Veloso, Gal A. Kaminka:
Integration of Advice in an Action-Selection Architecture. RoboCup 2002: 195-205 - [c94]James Bruce, Manuela M. Veloso:
Real-Time Randomized Path Planning for Robot Navigation. RoboCup 2002: 288-295 - [c93]William T. B. Uther, Manuela M. Veloso:
TTree: Tree-Based State Generalization with Temporally Abstract Actions. SARA 2002: 308-315 - 2001
- [c92]Patrick Riley, Manuela M. Veloso:
Coaching a simulated soccer team by opponent model recognition. Agents 2001: 155-156 - [c91]Scott Lenser, James Bruce, Manuela M. Veloso:
CMPack: a complete software system for autonomous legged soccer robots. Agents 2001: 204-211 - [c90]Tucker R. Balch, Zia Khan, Manuela M. Veloso:
Automatically tracking and analyzing the behavior of live insect colonies. Agents 2001: 521-528 - [c89]Markus Püschel, Bryan Singer, Manuela M. Veloso, José M. F. Moura:
Fast Automatic Generation of DSP Algorithms. International Conference on Computational Science (1) 2001: 97-106 - [c88]Michael H. Bowling, Manuela M. Veloso:
Convergence of Gradient Dynamics with a Variable Learning Rate. ICML 2001: 27-34 - [c87]Bryan Singer, Manuela M. Veloso:
Learning to Generate Fast Signal Processing Implementations. ICML 2001: 529-536 - [c86]Michael H. Bowling, Manuela M. Veloso:
Rational and Convergent Learning in Stochastic Games. IJCAI 2001: 1021-1026 - [c85]James Bruce, Scott Lenser, Manuela M. Veloso:
Fast Parametric Transitions for Smooth Quadrupedal Motion. RoboCup 2001: 293-298 - [c84]Scott Lenser, James Bruce, Manuela M. Veloso:
A Modular Hierarchical Behavior-Based Architecture. RoboCup 2001: 423-428 - [c83]Patrick Riley, Manuela M. Veloso:
Recognizing Probabilistic Opponent Movement Models. RoboCup 2001: 453-458 - [c82]Paul Carpenter, Patrick Riley, Gal A. Kaminka, Manuela M. Veloso, Ignacio Thayer, Robert Wang:
ChaMeleons-01 Team Description. RoboCup 2001: 503-506 - [c81]Brett Browning, Michael H. Bowling, James Bruce, Ravi Balasubramanian, Manuela M. Veloso:
CM-Dragons'01 - Vision-Based Motion Tracking and Heteregenous Robots. RoboCup 2001: 567-570 - [c80]William T. B. Uther, Scott Lenser, James Bruce, Martin Hock, Manuela M. Veloso:
CM-Pack'01: Fast Legged Robot Walking, Robust Localization, and Team Behaviors. RoboCup 2001: 693-696 - [c79]Bryan Singer, Manuela M. Veloso:
Stochastic search for signal processing algorithm optimization. SC 2001: 22 - 2000
- [j29]Astro Teller, Manuela M. Veloso:
Internal reinforcement in a connectionist genetic programming approach. Artif. Intell. 120(2): 165-198 (2000) - [j28]Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar:
Overview of RoboCup-98. AI Mag. 21(1): 9-19 (2000) - [j27]Peter Stone, Manuela M. Veloso, Patrick Riley:
CMUNITED-98 Simulator Team. AI Mag. 21(1): 20-28 (2000) - [j26]Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone:
CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. AI Mag. 21(1): 29-36 (2000) - [j25]Masahiro Fujita, Manuela M. Veloso, William T. B. Uther, Minoru Asada, Hiroaki Kitano, Vincent Hugel, Patrick Bonnin, Jean-Christophe Bouramoué, Pierre Blazevic:
Vision, Strategy, and Localization Using the Sony Robots at RoboCup-98. AI Mag. 21(1): 47-56 (2000) - [j24]Peter Stone, Patrick Riley, Manuela M. Veloso:
The CMUnited-99 Champion Simulator Team. AI Mag. 21(3): 33-40 (2000) - [j23]Peter Stone, Manuela M. Veloso:
Multiagent Systems: A Survey from a Machine Learning Perspective. Auton. Robots 8(3): 345-383 (2000) - [j22]Rune Møller Jensen, Manuela M. Veloso:
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains. J. Artif. Intell. Res. 13: 189-226 (2000) - [c78]Elly Winner, Manuela M. Veloso:
Multi-Fidelity Robotic Behaviors: Acting with Variable State Information. AAAI/IAAI 2000: 872-877 - [c77]Peter Stone, Patrick Riley, Manuela M. Veloso:
Defining and Using Ideal Teammate and Opponent Agent Models. AAAI/IAAI 2000: 1040-1045 - [c76]Patrick Riley, Manuela M. Veloso:
Behavior Acquisition and Classification: A Case Study in Robotic Soccer. AAAI/IAAI 2000: 1092 - [c75]Manuela M. Veloso, Tucker R. Balch, Scott Lenser:
Integrating information, planning, and execution monitoring agents. Agents 2000: 132-133 - [c74]Peter Stone, Patrick Riley, Manuela M. Veloso:
Layered disclosure: why is the agent doing what it's doing? Agents 2000: 225-226 - [c73]Rune Møller Jensen, Manuela M. Veloso:
OBDD-Based Universal Planning for Multiple Synchronized Agents in Non-Deterministic Domains. AIPS 2000: 167-176 - [c72]Manuela M. Veloso, Elly Winner, Scott Lenser, James Bruce, Tucker R. Balch:
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot. AIPS 2000: 387-394 - [c71]Patrick Riley, Peter Stone, Manuela M. Veloso:
Layered Disclosure: Revealing Agents' Internals. ATAL 2000: 61-72 - [c70]Patrick Riley, Manuela M. Veloso:
On Behavior Classification in Adversarial Environments. DARS 2000: 371-380 - [c69]Peter Stone, Manuela M. Veloso:
Layered Learning. ECML 2000: 369-381 - [c68]Peter Stone, Patrick Riley, Manuela M. Veloso:
Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer. ICMAS 2000: 441-442 - [c67]Bryan Singer, Manuela M. Veloso:
Learning to Predict Performance from Formula Modeling and Training Data. ICML 2000: 887-894 - [c66]Astro Teller, Manuela M. Veloso:
Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement. ICML 2000: 959-966 - [c65]Minoru Asada, Raffaello D'Andrea, Andreas Birk, Hiroaki Kitano, Manuela M. Veloso:
Robotics in Edutainment. ICRA 2000: 795-800 - [c64]Scott Lenser, Manuela M. Veloso:
Sensor Resetting Localization for Poorly Modelled Mobile Robots. ICRA 2000: 1225-1232 - [c63]James Bruce, Tucker R. Balch, Manuela M. Veloso:
Fast and inexpensive color image segmentation for interactive robots. IROS 2000: 2061-2066 - [c62]Minoru Asada, Andreas Birk, Enrico Pagello, Masahiro Fujita, Itsuki Noda, Satoshi Tadokoro, Dominique Duhaut, Peter Stone, Manuela M. Veloso, Tucker R. Balch, Hiroaki Kitano, Brian Thomas:
Progress in RoboCup Soccer Research in 2000. ISER 2000: 363-372 - [c61]William T. B. Uther, Manuela M. Veloso:
The Lumberjack Algorithm for Learning Linked Decision Forests. PRICAI 2000: 156-166 - [c60]Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso:
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. RoboCup 2000: 489-492 - [c59]Scott Lenser, James Bruce, Manuela M. Veloso:
CMPack '00. RoboCup 2000: 623-626 - [c58]William T. B. Uther, Manuela M. Veloso:
The Lumberjack Algorithm for Learning Linked Decision Forests. SARA 2000: 219-232 - [e4]Manuela M. Veloso, Enrico Pagello, Hiroaki Kitano:
RoboCup-99: Robot Soccer World Cup III. Lecture Notes in Computer Science 1856, Springer 2000, ISBN 3-540-41043-0 [contents]
1990 – 1999
- 1999
- [j21]Paola Rizzo, Manuela M. Veloso, Maria Miceli, Amedeo Cesta:
Goal-Based Personalities and Social Behaviors in Believable Agents. Appl. Artif. Intell. 13(3): 239-271 (1999) - [j20]Minoru Asada, Hiroaki Kitano, Itsuki Noda, Manuela M. Veloso:
RoboCup: Today and Tomorrow - What we have learned. Artif. Intell. 110(2): 193-214 (1999) - [j19]Peter Stone, Manuela M. Veloso:
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Artif. Intell. 110(2): 241-273 (1999) - [j18]Manuela M. Veloso, Peter Stone, Kwun Han:
The CMUnited-97 robotic soccer team: Perception and multi-agent control. Robotics Auton. Syst. 29(2-3): 133-143 (1999) - [j17]Karen Zita Haigh, Manuela M. Veloso:
Learning situation-dependent costs: Improving planning from probabilistic robot execution. Robotics Auton. Syst. 29(2-3): 145-174 (1999) - [c57]Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone:
CMUnited-98: A Team of Robotic Soccer Agents. AAAI/IAAI 1999: 891-896 - [c56]Bryan Singer, Manuela M. Veloso:
Learning State Features from Policies to Bias Exploration in Reinforcement Learning. AAAI/IAAI 1999: 981 - [c55]Peter Stone, Manuela M. Veloso:
Team-Partitioned, Opaque-Transition Reinforcement Learning. Agents 1999: 206-212 - [c54]Michael Bowling, Manuela M. Veloso:
Motion control in dynamic multi-robot environments. CIRA 1999: 168-173 - [c53]Michael H. Bowling, Manuela M. Veloso:
Bounding the Suboptimality of Reusing Subproblem. IJCAI 1999: 1340-1347 - [c52]Minoru Asada, Sho'ji Suzuki, Manuela M. Veloso, Gerhard K. Kraetzschmar, Hiroaki Kitano:
What we learned from RoboCup-97 and RoboCup-98. IROS 1999: 1426-1431 - [c51]Minoru Asada, Manuela M. Veloso, Gerhard K. Kraetzschmar, Hiroaki Kitano:
A Review of Robot World Cup Soccer Research Issues RoboCup: Today and Tomorrow. ISER 1999: 369-378 - [c50]Manuela M. Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard K. Kraetzschmar, Peter Stone, Tucker R. Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, Masahiro Fujita:
Overview of RoboCup-99. RoboCup 1999: 1-34 - [c49]Peter Stone, Patrick Riley, Manuela M. Veloso:
The CMUnited-99 Champion Simulator Team. RoboCup 1999: 35-48 - [c48]Michael H. Bowling, Manuela M. Veloso:
Motion Control in Dynamic Multi-Robot Environments. RoboCup 1999: 222-230 - [c47]Peter Stone, Manuela M. Veloso:
Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. RoboCup 1999: 495-508 - [c46]Manuela M. Veloso, Michael H. Bowling, Sorin Achim:
CMUnited-99: Small-Size Robot Team. RoboCup 1999: 661-662 - [c45]Manuela M. Veloso, Scott Lenser, Elly Winner, James Bruce:
CM-Trio-99. RoboCup 1999: 766-769 - [p1]Rune Møller Jensen, Manuela M. Veloso:
OBDD-based Universal Planning: Specifying and Solving Planning Problems for Synchronized Agents in Non-deterministic Domains. Artificial Intelligence Today 1999: 213-248 - [e3]Michael J. Wooldridge, Manuela M. Veloso:
Artificial Intelligence Today: Recent Trends and Developments. Lecture Notes in Computer Science 1600, Springer 1999, ISBN 3-540-66428-9 [contents] - 1998
- [j16]Peter Stone, Manuela M. Veloso:
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server. Appl. Artif. Intell. 12(2-3): 165-188 (1998) - [j15]Minoru Asada, Peter Stone, Hiroaki Kitano, Barry Brian Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki:
The Robocup Physical Agent Challenge: Phase I. Appl. Artif. Intell. 12(2-3): 251-263 (1998) - [j14]Manuela M. Veloso, Peter Stone, Kwun Han:
CMUNITED-97: RoboCup-97 Small-Robot World Champion Team. AI Mag. 19(3): 61-69 (1998) - [j13]Manuela M. Veloso, Michael H. Bowling, Peter Stone:
The CMUnited-98 champion small-robot team. Adv. Robotics 13(8): 753-766 (1998) - [j12]Karen Zita Haigh, Manuela M. Veloso:
Interleaving Planning and Robot Execution for Asynchronous User Requests. Auton. Robots 5(1): 79-95 (1998) - [j11]Manuela Veloso, Peter Stone, Kwun Han, Sorin Achim:
CMUnited: a team of robotics soccer agents collaborating in an adversarial environment. XRDS 4(3): 11-17 (1998) - [j10]Peter Stone, Manuela M. Veloso:
Towards collaborative and adversarial learning: a case study in robotic soccer. Int. J. Hum. Comput. Stud. 48(1): 83-104 (1998) - [c44]William T. B. Uther, Manuela M. Veloso:
Tree Based Discretization for Continuous State Space Reinforcement Learning. AAAI/IAAI 1998: 769-774 - [c43]Manuela M. Veloso, Peter Stone, Kwun Han:
The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control. Agents 1998: 78-85 - [c42]Peter Stone, Manuela M. Veloso:
Using Decision Tree Confidence Factors for Multi-Agent Control. Agents 1998: 86-91 - [c41]Karen Zita Haigh, Manuela M. Veloso:
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution. Agents 1998: 231-238 - [c40]Karen Zita Haigh, Manuela M. Veloso:
Planning, Execution and Learning in a Robotic Agent. AIPS 1998: 120-127 - [c39]Manuela M. Veloso, Martha E. Pollack, Michael T. Cox:
Rationale-Based Monitoring for Planning in Dynamic Environments. AIPS 1998: 171-180 - [c38]Peter Stone, Manuela M. Veloso:
Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork. ATAL 1998: 293-308 - [c37]Peter Stone, Manuela M. Veloso:
Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. CRW 1998: 85-97 - [c36]Ralph Bergmann, Hector Muñoz-Avila, Manuela M. Veloso, Erica Melis:
CBR Applied to Planning. Case-Based Reasoning Technology 1998: 169-200 - [c35]Manuela M. Veloso, Peter Stone:
Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents. ICMAS 1998: 309-316 - [c34]Kwun Han, Manuela M. Veloso:
Reactive Visual Control of Multiple Non-Holonomic Robotic Agents. ICRA 1998: 3510-3515 - [c33]