Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
R. Tian, Y. Wu, C. Xu, M. Tomizuka, J. Malik, A. Bajcsy
arXiv, 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
M. Zhao, R.Simmons, H.Admoni, A. Ramdas†, A. Bajcsy† arXiv, 2024
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations
J. Li, A. Siththaranjan, S. Sojoudi, C. Tomlin, A. Bajcsy
arXiv, 2024
Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
K. Nakamura, R. Tian, A. Bajcsy
Conference on Robot Learning (CoRL), 2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
M. Zhao, R. Simmons, H. Admoni, A. Bajcsy
Robotics: Science and Systems, 2024
Conformal Decision Theory: Safe Autonomous Decisions without Distributions
J. Lekeufack*, A.N. Angelopoulos*, A. Bajcsy*, M.I. Jordan, J. Malik
International Conference on Robotics and Automation (ICRA), 2024
* denotes equal contribution paper
 
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Learning Vision-Based Pursuit-Evasion Robot Policies
A. Bajcsy*, A. Loquercio*, A. Kumar, J. Malik
International Conference on Robotics and Automation (ICRA), 2024
* denotes equal contribution paper
 
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What Matters to You? Towards Visual Representation Alignment for Robot Learning
R. Tian, C. Xu, M. Tomizuka, J. Malik, A. Bajcsy
International Conference on Learning Representations (ICLR), 2024
Contingency Games for Multi-Agent Interaction
L. Peters, A. Bajcsy, C.Y Chiu, D. Fridovich-Keil, F. Laine, L. Ferranti, J. Alonso-Mora
Robotics and Automation Letters (RA-L), 2024
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
H. Hu*, Z. Zhang*, K. Nakamura, A. Bajcsy, J.F. Fisac
Conference on Robot Learning (CoRL), 2023
* denotes equal contribution paper
 
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Towards Modeling and Influencing the Dynamics of Human Learning
R. Tian, M. Tomizuka, A. Dragan, A. Bajcsy
International Conference on Human-Robot Interaction (HRI), 2023
Towards Robots that Influence Humans over Long-Term Interaction
S. Sagheb, Y. Mun, N. Ahmadian, B.A. Christie, A. Bajcsy, K. Driggs-Campbell, D.P. Losey
International Conference on Robotics and Automation (ICRA), 2023
Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts
K. Leung*, A. Bajcsy*, E. Schmerling, M. Pavone
arXiv, 2022
* denotes equal contribution paper
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
R. Tian*, L. Sun*, A. Bajcsy*, M. Tomizuka, A.D. Dragan
International Conference on Robotics and Automation (ICRA), 2022
* denotes equal contribution paper
 
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Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
D.P. Losey, A. Bajcsy, M.K. O'Malley, A.D. Dragan
International Journal of Robotics Research (IJRR), 2021
Analyzing Human Models that Adapt Online
A. Bajcsy, A. Siththaranjan, C.J. Tomlin, A.D. Dragan
International Conference on Robotics and Automation (ICRA), 2021
Efficient Dynamics Estimation with Adaptive Model Sets
E. Ratner, A. Bajcsy, C.J. Tomlin, A.D. Dragan
IEEE Robotics and Automation Letters (RA-L), 2021
A Robust Control Framework for Human Motion Prediction
A. Bajcsy, S. Bansal, E. Ratner, C.J. Tomlin, A.D. Dragan
IEEE Robotics and Automation Letters (RA-L), 2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
A. Bobu, A. Bajcsy, J.F. Fisac, S. Deglurkar, A.D. Dragan
IEEE Transactions on Robotics (T-RO), 2020
(Honorable Mention for the 2020 IEEE T-RO Best Paper Award)
A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
S. Bansal*, A. Bajcsy*, E. Ratner*, A.D. Dragan, C.J. Tomlin
International Conference on Robotics and Automation (ICRA), 2020
* denotes equal contribution paper
 
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Confidence-aware motion prediction for real-time collision avoidance
D. Fridovich-Keil*, A. Bajcsy*, J.F. Fisac, S.L. Herbert, S. Wang, A.D. Dragan, C.J. Tomlin
International Journal of Robotics Research (IJRR), 2019
* denotes equal contribution paper
 
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An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
A. Bajcsy*, S. Bansal*, E. Bronstein, V. Tolani, C.J. Tomlin
IEEE Conference on Decision and Control (CDC), 2019
* denotes equal contribution paper
 
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A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
A. Bajcsy*, S.L. Herbert*, D. Fridovich-Keil, J.F. Fisac, S. Deglurkar, A.D. Dragan, C.J. Tomlin
International Conference on Robotics and Automation (ICRA), 2019
* denotes equal contribution paper
 
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Learning under Misspecified Objective Spaces
A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan
Conference on Robot Learning (CoRL), 2018
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
J.F. Fisac*, A. Bajcsy*, S.L. Herbert, D. Fridovich-Keil, S. Wang, C.J. Tomlin, A.D. Dragan
Robotics: Science and Systems (RSS), 2018
Learning from Physical Human Corrections, One Feature at a Time
A. Bajcsy, D.P. Losey, M.K. O'Malley, A.D. Dragan
International Conference on Human-Robot Interaction (HRI), 2018
Learning Robot Objectives from Physical Human Robot Interaction
A. Bajcsy*, D.P. Losey*, M.K. O'Malley, A.D. Dragan
Conference on Robot Learning (CoRL), 2017
A User-Centered Design and Analysis of an Electrostatic Haptic Touchscreen System for Students with Visual Impairments
A. Bateman, O. Zhao, A. Bajcsy, M. Jennings, B. Toth, A. Cohen, E. Horton, A. Khattar, R. Kuo, F. Lee, M.K. Lim, L. Migasiuk, R. Renganathan, A. Zhang, M.A. Oliveira
International Journal of Human-Computer Studies, 2017
A review of principles in design and usability testing of tactile technology for individuals with visual impairments
E.L. Horton, R. Renganathan, B.N. Toth, A.J. Cohen, A. Bajcsy, A. Bateman, M.C. Jennings, A. Khattar, R.S. Kuo, F.A. Lee, M.K. Lim, L.W, Migasiuk, A. Zhang, O.K. Zhao, M.A. Oliveira
Assistive Technology, 2016