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ORCIDKatherine Rose Driggs-Campbell
Katherine Driggs-Campbell – Katie Driggs-Campbell
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2020 – today
- 2025
[j16]Neeloy Chakraborty
, Melkior Ornik, Katherine Rose Driggs-Campbell:
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. ACM Comput. Surv. 57(7): 188:1-188:35 (2025)- [j15]Tianchen Ji, Neeloy Chakraborty, Andre Schreiber, Katherine Driggs-Campbell:
An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving. Int. J. Robotics Res. 44(6): 1055-1077 (2025) - [j14]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell:
Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems. IEEE Intell. Transp. Syst. Mag. 17(5): 61-71 (2025) - [j13]Andre Schreiber, Katherine Driggs-Campbell:
Do You Know the Way? Human-in-The-Loop Understanding for Fast Traversability Estimation in Mobile Robotics. IEEE Robotics Autom. Lett. 10(6): 5863-5870 (2025) - [c57]Mahshid Mansouri, Zhe Huang, Yu Chen, Katherine Driggs-Campbell, William R. Norris, João Ramos, Elizabeth T. Hsiao-Wecksler:
Implementation and Validation of Obstacle Avoidance Algorithms on a Self-Balancing Robot. CASE 2025: 2327-2334 - [c56]Neeloy Chakraborty, Yixiao Fang, Andre Schreiber, Tianchen Ji, Zhe Huang, Aganze Mihigo, Cassidy Wall, Abdulrahman Almana, Katherine Driggs-Campbell:
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation. ICRA 2025: 1097-1104 - [c55]Shengcheng Luo, Quanquan Peng, Jun Lv, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, Yong-Lu Li:
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition. ICRA 2025: 1370-1377 - [c54]Haonan Chen, Jiaming Xu, Lily Sheng, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell:
Learning Coordinated Bimanual Manipulation Policies Using State Diffusion and Inverse Dynamics Models. ICRA 2025: 5644-5651 - [c53]Katherine Braught, Yangge Li, Katherine Driggs-Campbell, Sayan Mitra:
'Too Theoretical and Nowhere Near Interesting': Using a Tool to Increase Student Motivation for Formal Methods. ITiCSE (1) 2025: 187-193 - [i89]Zhe Huang, Tianchen Ji, Heling Zhang, Fatemeh Cheraghi Pouria, Katherine Rose Driggs-Campbell, Roy Dong:
Interaction-aware Conformal Prediction for Crowd Navigation. CoRR abs/2502.06221 (2025) - [i88]Tianchen Ji, Neeloy Chakraborty, Andre Schreiber, Katherine Rose Driggs-Campbell:
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving. CoRR abs/2502.16389 (2025) - [i87]Dongping Li, Tielong Cai, Tianci Tang, Wenhao Chai, Katherine Rose Driggs-Campbell, Gaoang Wang:
EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments. CoRR abs/2503.08604 (2025) - [i86]Shahabedin Sagheb, Sagar Parekh, Ravi Pandya, Ye-Ji Mun, Katie Driggs-Campbell, Andrea Bajcsy, Dylan P. Losey:
A Unified Framework for Robots that Influence Humans over Long-Term Interaction. CoRR abs/2503.14633 (2025) - [i85]Shaoting Peng, Haonan Chen, Katherine Rose Driggs-Campbell:
Towards Uncertainty Unification: A Case Study for Preference Learning. CoRR abs/2503.19317 (2025) - [i84]Haonan Chen, Jiaming Xu, Lily Sheng, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Rose Driggs-Campbell:
Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models. CoRR abs/2503.23271 (2025) - [i83]Haonan Chen, Cheng Zhu, Yunzhu Li, Katherine Rose Driggs-Campbell:
Tool-as-Interface: Learning Robot Policies from Human Tool Usage through Imitation Learning. CoRR abs/2504.04612 (2025) - [i82]Andre Schreiber, Katherine Rose Driggs-Campbell:
Do You Know the Way? Human-in-the-Loop Understanding for Fast Traversability Estimation in Mobile Robotics. CoRR abs/2504.19851 (2025) - [i81]Neeloy Chakraborty, John Pohovey, Melkior Ornik, Katherine Driggs-Campbell:
Adaptive Stress Testing Black-Box LLM Planners. CoRR abs/2505.05665 (2025) - [i80]Zhe Huang, Ye-Ji Mun, Fatemeh Cheraghi Pouria, Katherine Driggs-Campbell:
Hierarchical Intention Tracking with Switching Trees for Real-Time Adaptation to Dynamic Human Intentions during Collaboration. CoRR abs/2506.07004 (2025) - [i79]W. Jacob Wagner, Ahmet Soylemezoglu, Katherine Driggs-Campbell:
In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader. CoRR abs/2507.22356 (2025) - [i78]Dongping Li, Shaoting Peng, John Pohovey, Katherine Rose Driggs-Campbell:
COMMET: A System for Human-Induced Conflicts in Mobile Manipulation of Everyday Tasks. CoRR abs/2509.04836 (2025) - [i77]Shaoting Peng, Katherine Driggs-Campbell, Roy Dong:
Trust-Aware Embodied Bayesian Persuasion for Mixed-Autonomy. CoRR abs/2509.15404 (2025) - [i76]Shaoting Peng, Dakarai Crowder, Wenzhen Yuan, Katherine Driggs-Campbell:
Tactile-Based Human Intent Recognition for Robot Assistive Navigation. CoRR abs/2509.16353 (2025) - [i75]Haonan Chen, Jiaming Xu, Hongyu Chen, Kaiwen Hong, Binghao Huang, Chaoqi Liu, Jiayuan Mao, Yunzhu Li, Yilun Du, Katherine Driggs-Campbell:
Multi-Modal Manipulation via Multi-Modal Policy Consensus. CoRR abs/2509.23468 (2025) - 2024
- [j12]Liangjing Yang, Songjie Xiao, Tengyue Wang, Yunze Shi, Katherine Driggs-Campbell:
Robotics via Experiential Active Learning With Immersive Technology: A Pedagogical Framework Designed for Engineering Curricula. IEEE Access 12: 65706-65715 (2024) - [j11]Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell:
DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. IEEE Robotics Autom. Lett. 9(4): 3712-3719 (2024) - [j10]Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Rose Driggs-Campbell:
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. IEEE Robotics Autom. Lett. 9(6): 5623-5630 (2024) - [j9]Pulkit Katdare, Anant A. Joshi, Katherine Rose Driggs-Campbell:
Towards Provable Log Density Policy Gradient. Trans. Mach. Learn. Res. 2024 (2024) - [c52]Yixuan Wang, Mingtong Zhang, Zhuoran Li, Tarik Kelestemur, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement. CoRL 2024: 272-298 - [c51]Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell:
Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints. ICRA 2024: 8742-8748 - [i74]Pulkit Katdare, Anant A. Joshi, Katherine Rose Driggs-Campbell:
Towards Provable Log Density Policy Gradient. CoRR abs/2403.01605 (2024) - [i73]Aamir Hasan, D. Livingston McPherson, Melissa Miles, Katherine Rose Driggs-Campbell:
Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS. CoRR abs/2403.03312 (2024) - [i72]Neeloy Chakraborty, Melkior Ornik, Katherine Rose Driggs-Campbell:
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. CoRR abs/2403.16527 (2024) - [i71]Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs-Campbell:
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. CoRR abs/2405.16830 (2024) - [i70]Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Driggs-Campbell:
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. CoRR abs/2406.02822 (2024) - [i69]Abhi Kamboj, Katherine Driggs-Campbell:
A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping. CoRR abs/2406.11786 (2024) - [i68]Zhe Huang, John Pohovey, Ananya Yammanuru, Katherine Driggs-Campbell:
LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration - A Robot Sous-Chef Application. CoRR abs/2406.13787 (2024) - [i67]Shengcheng Luo, Quanquan Peng, Jun Lv, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, Yong-Lu Li:
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition. CoRR abs/2407.00299 (2024) - [i66]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
Cooperative Advisory Residual Policies for Congestion Mitigation. CoRR abs/2407.00553 (2024) - [i65]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell:
Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. CoRR abs/2407.13775 (2024) - [i64]Fatemeh Cheraghi Pouria, Zhe Huang, Ananya Yammanuru, Shuijing Liu, Katherine Driggs-Campbell:
Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments. CoRR abs/2407.16771 (2024) - [i63]Neeloy Chakraborty, Yixiao Fang, Andre Schreiber, Tianchen Ji, Zhe Huang, Aganze Mihigo, Cassidy Wall, Abdulrahman Almana, Katherine Rose Driggs-Campbell:
Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation. CoRR abs/2409.09921 (2024) - [i62]Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria, Kaiwen Hong, Neeloy Chakraborty, Katherine Rose Driggs-Campbell:
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments. CoRR abs/2411.12150 (2024) - 2023
- [j8]Peter Du, Katherine Driggs-Campbell, Roy Dong:
Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics. IEEE Trans. Autom. Control. 68(6): 3752-3759 (2023) - [c50]Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS 2023: 1125-1134 - [c49]Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL 2023: 358-373 - [c48]Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell:
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL 2023: 1797-1819 - [c47]Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell:
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRL 2023: 3778-3788 - [c46]Yu-Chen Chang, Nitish Gandi, Kazuki Shin, Ye-Ji Mun, Katherine Driggs-Campbell, Joohyung Kim:
Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze. Humanoids 2023: 1-7 - [c45]Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey:
Towards Robots that Influence Humans over Long-Term Interaction. ICRA 2023: 7490-7496 - [c44]Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Learning Visual-Audio Representations for Voice-Controlled Robots. ICRA 2023: 9508-9514 - [c43]Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Rose Driggs-Campbell:
Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. ICRA 2023: 9821-9828 - [c42]Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell:
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. ICRA 2023: 12015-12021 - [c41]Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell:
Occlusion-Aware Crowd Navigation Using People as Sensors. ICRA 2023: 12031-12037 - [c40]Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs-Campbell:
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. IROS 2023: 8038-8045 - [c39]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs-Campbell:
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC 2023: 5078-5085 - [c38]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney:
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS 2023 - [c37]Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems 2023 - [i61]Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR abs/2301.03634 (2023) - [i60]Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs-Campbell:
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR abs/2301.09749 (2023) - [i59]Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell:
Towards Co-operative Congestion Mitigation. CoRR abs/2302.09140 (2023) - [i58]Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell:
Designing a Wayfinding Robot for People with Visual Impairments. CoRR abs/2302.09144 (2023) - [i57]Peter Du, Katherine Rose Driggs-Campbell:
Adaptive Failure Search Using Critical States from Domain Experts. CoRR abs/2304.00365 (2023) - [i56]Peter Du, Surya Murthy, Katherine Rose Driggs-Campbell:
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries. CoRR abs/2304.00367 (2023) - [i55]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney:
Equivariant Few-Shot Learning from Pretrained Models. CoRR abs/2305.09900 (2023) - [i54]Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR abs/2306.16700 (2023) - [i53]Ye-Ji Mun, Zhe Huang, Haonan Chen, Yilong Niu, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell:
User-Friendly Safety Monitoring System for Manufacturing Cobots. CoRR abs/2307.01886 (2023) - [i52]Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Rose Driggs-Campbell:
DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding. CoRR abs/2307.06924 (2023) - [i51]Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. CoRR abs/2308.00864 (2023) - [i50]Zhe Huang, Ye-Ji Mun, Haonan Chen, Yiqing Xie, Yilong Niu, Xiang Li, Ninghan Zhong, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell:
Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks. CoRR abs/2308.03222 (2023) - [i49]Pulkit Katdare, Nan Jiang, Katherine Driggs-Campbell:
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRR abs/2309.01807 (2023) - [i48]W. Jacob Wagner, Ahmet Soylemezoglu, Dustin Nottage, Katherine Rose Driggs-Campbell:
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks. CoRR abs/2309.02575 (2023) - [i47]Haonan Chen, Ye-Ji Mun, Zhe Huang, Yilong Niu, Yiqing Xie, D. Livingston McPherson, Katherine Driggs-Campbell:
Learning Task Skills and Goals Simultaneously from Physical Interaction. CoRR abs/2309.04596 (2023) - [i46]Zhe Huang, Hongyu Chen, Katherine Driggs-Campbell:
Neural Informed RRT* with Point-based Network Guidance for Optimal Sampling-based Path Planning. CoRR abs/2309.14595 (2023) - [i45]Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. CoRR abs/2309.16118 (2023) - [i44]Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. CoRR abs/2309.16826 (2023) - [i43]Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRR abs/2309.16873 (2023) - 2022
- [j7]Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Rose Driggs-Campbell:
Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction. IEEE Robotics Autom. Lett. 7(2): 1198-1205 (2022) - [j6]Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell:
Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. IEEE Robotics Autom. Lett. 7(2): 4975-4982 (2022) - [c36]Tianchen Ji, Junyi Geng, Katherine Driggs-Campbell:
Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty. CDC 2022: 1782-1789 - [c35]Aamir Hasan, Pranav Sriram, Katherine Rose Driggs-Campbell:
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. ICRA 2022: 617-624 - [c34]Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell:
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. ICRA 2022: 3576-3582 - [c33]Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA 2022: 4585-4591 - [c32]Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell:
Off Environment Evaluation Using Convex Risk Minimization. ICRA 2022: 7485-7491 - [c31]W. Jacob Wagner, Katherine Driggs-Campbell, Ahmet Soylemezoglu:
Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing. IROS 2022: 6531-6538 - [c30]Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Driggs-Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. ITSC 2022: 32-39 - [c29]Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs-Campbell:
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. ITSC 2022: 1698-1704 - [c28]Abhi Kamboj, Tianchen Ji, Katie Driggs-Campbell:
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. RO-MAN 2022: 293-300 - [c27]Tianchen Ji, Roy Dong, Katherine Driggs-Campbell:
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. Robotics: Science and Systems 2022 - [i42]Aamir Hasan, Pranav Sriram, Katherine Driggs-Campbell:
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. CoRR abs/2202.13427 (2022) - [i41]Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell:
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. CoRR abs/2203.01821 (2022) - [i40]Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Driggs-Campbell:
Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. CoRR abs/2203.09063 (2022) - [i39]Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell:
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion. CoRR abs/2204.01146 (2022) - [i38]Tianchen Ji, Roy Dong, Katherine Driggs-Campbell:
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. CoRR abs/2205.01768 (2022) - [i37]Tan Chen, Zhe Huang, James Motes, Junyi Geng, Quang Minh Ta, Holly Dinkel, Hameed Abdul-Rashid, Jessica Myers, Ye-Ji Mun, Wei-che Lin, Yuan-yung Huang, Sizhe Liu, Marco Morales, Nancy M. Amato, Katherine Rose Driggs-Campbell, Timothy Bretl:
Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration. CoRR abs/2205.14340 (2022) - [i36]Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Rose Driggs-Campbell:
Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration. CoRR abs/2206.01775 (2022) - [i35]Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Rose Driggs-Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material). CoRR abs/2207.04028 (2022) - [i34]Abhi Kamboj, Tianchen Ji, Katie Driggs-Campbell:
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. CoRR abs/2208.10455 (2022) - [i33]Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey:
Towards Robots that Influence Humans over Long-Term Interaction. CoRR abs/2209.10588 (2022) - [i32]Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell:
Occlusion-Aware Crowd Navigation Using People as Sensors. CoRR abs/2210.00552 (2022) - [i31]Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs-Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - 2021
- [j5]Zhe Huang, Aamir Hasan, Kazuki Shin, Ruohua Li, Katherine Rose Driggs-Campbell:
Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM. IEEE Robotics Autom. Lett. 6(2): 542-549 (2021) - [c26]Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Rose Driggs-Campbell:
AutoPreview: A Framework for Autopilot Behavior Understanding. CHI Extended Abstracts 2021: 430:1-430:6 - [c25]Peter Du, Katherine Rose Driggs-Campbell:
Adaptive Failure Search Using Critical States from Domain Experts. ICRA 2021: 38-44 - [c24]Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell:
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. ICRA 2021: 3517-3524 - [i30]Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs-Campbell:
AutoPreview: A Framework for Autopilot Behavior Understanding. CoRR abs/2102.13034 (2021) - [i29]Peter Du, Katherine Rose Driggs-Campbell, Roy Dong:
A Moment-Based Safety Analysis for Stochastic Dynamical Systems. CoRR abs/2104.04892 (2021) - [i28]Yuan Shen, Niviru Wijayaratne, Katherine Rose Driggs-Campbell:
Building Mental Models through Preview of Autopilot Behaviors. CoRR abs/2104.05470 (2021) - [i27]Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Rose Driggs-Campbell:
Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction. CoRR abs/2107.07056 (2021) - [i26]Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. CoRR abs/2109.02173 (2021) - [i25]Peixin Chang, Shuijing Liu, Katherine Driggs-Campbell:
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. CoRR abs/2109.02823 (2021) - [i24]Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs-Campbell:
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. CoRR abs/2109.06783 (2021) - [i23]Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katie Driggs-Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. CoRR abs/2111.10014 (2021) - [i22]Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell:
Off Environment Evaluation Using Convex Risk Minimization. CoRR abs/2112.11532 (2021) - 2020
- [j4]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. IEEE Trans. Intell. Veh. 5(2): 294-305 (2020) - [c23]Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell:
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRL 2020: 1443-1455 - [c22]Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Campbell:
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. IROS 2020: 5580-5587 - [c21]Peter Du, Zhe Huang, Tianqi Liu, Tianchen Ji, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra:
Online Monitoring for Safe Pedestrian-Vehicle Interactions. ITSC 2020: 1-8 - [i21]Kyle Brown, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Modeling and Prediction of Human Driver Behavior: A Survey. CoRR abs/2006.08832 (2020) - [i20]Yuan Shen, Shanduojiao Jiang, Yanlin Chen, Eileen Yang, Xilun Jin, Yuliang Fan, Katie Driggs-Campbell:
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles. CoRR abs/2006.11684 (2020) - [i19]Zhe Huang, Aamir Hasan, Katherine Rose Driggs-Campbell:
Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction. CoRR abs/2007.00113 (2020) - [i18]Tianchen Ji, Katherine Rose Driggs-Campbell:
Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty. CoRR abs/2008.04980 (2020) - [i17]Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell:
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. CoRR abs/2011.04820 (2020) - [i16]Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell:
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRR abs/2012.08637 (2020)
2010 – 2019
- 2019
- [c20]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [c19]Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
HG-DAgger: Interactive Imitation Learning with Human Experts. ICRA 2019: 8077-8083 - [c18]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. IJCAI 2019: 3116-3122 - [c17]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. IROS 2019: 5041-5048 - [c16]Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. ITSC 2019: 163-168 - [c15]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. ITSC 2019: 2052-2059 - [i15]Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. CoRR abs/1903.03642 (2019) - [i14]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - [i13]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. CoRR abs/1904.12374 (2019) - [i12]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. CoRR abs/1905.02680 (2019) - [i11]Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. CoRR abs/1908.01046 (2019) - [i10]Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Rose Driggs-Campbell:
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. CoRR abs/1909.09172 (2019) - [i9]Peter Du, Zhe Huang, Tianqi Liu, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra:
Online monitoring for safe pedestrian-vehicle interactions. CoRR abs/1910.05599 (2019) - [i8]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte-Carlo Tree Search for Policy Optimization. CoRR abs/1912.10648 (2019) - 2018
- [j3]Katherine Rose Driggs-Campbell, Roy Dong, Ruzena Bajcsy:
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. IEEE Trans. Intell. Veh. 3(3): 300-309 (2018) - [c14]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. IROS 2018: 2342-2348 - [c13]Vijay Govindarajan, Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Affective Driver State Monitoring for Personalized, Adaptive ADAS. ITSC 2018: 1017-1022 - [c12]Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. Intelligent Vehicles Symposium 2018: 1665-1671 - [i7]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR abs/1807.08364 (2018) - [i6]Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
HG-DAgger: Interactive Imitation Learning with Human Experts. CoRR abs/1810.02890 (2018) - 2017
- [b1]Katherine Rose Driggs-Campbell:
Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction. University of California, Berkeley, USA, 2017 - [j2]Katherine Rose Driggs-Campbell, Vijay Govindarajan, Ruzena Bajcsy:
Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers. IEEE Trans. Intell. Transp. Syst. 18(12): 3461-3472 (2017) - [c11]Vijay Govindarajan, Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Data-driven reachability analysis for human-in-the-loop systems. CDC 2017: 2617-2622 - [c10]Tara Rezvani, Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Optimizing interaction between humans and autonomy via information constraints on interface design. ITSC 2017: 1-6 - [i5]Katherine Rose Driggs-Campbell, Roy Dong, S. Shankar Sastry, Ruzena Bajcsy:
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. CoRR abs/1705.00748 (2017) - [i4]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR abs/1709.06166 (2017) - [i3]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. CoRR abs/1711.01022 (2017) - 2016
- [c9]Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Communicating intent on the road through human-inspired control schemes. IROS 2016: 3042-3047 - [c8]Tara Rezvani, Katherine Rose Driggs-Campbell, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Ruzena Bajcsy:
Towards trustworthy automation: User interfaces that convey internal and external awareness. ITSC 2016: 682-688 - [c7]Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Comparing datasets for generalizing models of driver intent in dynamic environments. Intelligent Vehicles Symposium 2016: 1404-1409 - 2015
- [c6]Katherine Rose Driggs-Campbell, Victor Shia, Ruzena Bajcsy:
Improved driver modeling for human-in-the-loop vehicular control. ICRA 2015: 1654-1661 - [c5]Chi-Pang Lam, Allen Y. Yang, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry:
Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. IROS 2015: 5776-5783 - [c4]Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. ITSC 2015: 739-744 - [i2]Katherine Rose Driggs-Campbell, Ruzena Bajcsy:
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. CoRR abs/1505.05921 (2015) - 2014
- [j1]Victor A. Shia, Yiqi Gao, Ramanarayan Vasudevan, Katherine Rose Driggs-Campbell, Theresa Lin, Francesco Borrelli, Ruzena Bajcsy:
Semiautonomous Vehicular Control Using Driver Modeling. IEEE Trans. Intell. Transp. Syst. 15(6): 2696-2709 (2014) - [c3]Dorsa Sadigh, Katherine Rose Driggs-Campbell, Alberto Puggelli, Wenchao Li, Victor Shia, Ruzena Bajcsy, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia:
Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. AAAI Spring Symposia 2014 - [c2]Katherine Rose Driggs-Campbell, Victor Shia, Ruzena Bajcsy:
Decisions for autonomous vehicles: integrating sensors, communication, and control. HiCoNS 2014: 59-60 - [c1]Dorsa Sadigh, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry, Sanjit A. Seshia:
User interface design and verification for semi-autonomous driving. HiCoNS 2014: 63-64 - [i1]Katherine Rose Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S. Shankar Sastry, Ruzena Bajcsy:
Experimental Design for Human-in-the-Loop Driving Simulations. CoRR abs/1401.5039 (2014)
Coauthor Index
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