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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
- 2022
[j101]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)- [j100]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic document generator for annotation-free layout recognition. Pattern Recognit. 128: 108660 (2022) - [c426]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 - [c425]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 - [c424]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 - [c423]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. SIGIR 2022: 780-790 - [i63]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022) - [i62]Cenk Baykal, Vamsi K. Potluru, Sameena Shah, Manuela M. Veloso:
Bandit Sampling for Multiplex Networks. CoRR abs/2202.03621 (2022) - [i61]Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang:
A Survey of Explainable Reinforcement Learning. CoRR abs/2202.08434 (2022) - [i60]Mohsen Ghassemi, Eleonora Kreacic, Niccolò Dalmasso, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Differentially Private Learning of Hawkes Processes. CoRR abs/2207.13741 (2022) - [i59]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) - [i58]Mengda Xu, Manuela Veloso, Shuran Song:
ASPiRe: Adaptive Skill Priors for Reinforcement Learning. CoRR abs/2209.15205 (2022) - [i57]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) - [i56]Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso:
Towards learning to explain with concept bottleneck models: mitigating information leakage. CoRR abs/2211.03656 (2022) - [i55]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) - [i54]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
- [j99]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) - [j98]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 - [i53]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) - [i52]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep Video Prediction for Time Series Forecasting. CoRR abs/2102.12061 (2021) - [i51]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) - [i50]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR abs/2102.13045 (2021) - [i49]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) - [i48]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i47]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Time Series Forecasting: An Image-driven Approach. CoRR abs/2107.01273 (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
- [j97]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) - [j96]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
- [j95]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) - [j94]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) - [j93]Kim Baraka, Francisco S. Melo, Manuela Veloso:
Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics 10(1): 103-116 (2019) - [j92]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) - [j91]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 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 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 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
- [j90]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) - [j89]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) - [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]