Publications

Preprints

	Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos G. Yang, A. Bajcsy, S. Saito, A. Kanazawa arXiv, 2024 paper website
	Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback M. Zhao, R.Simmons, H.Admoni, A. Ramdas^†, A. Bajcsy^† arXiv, 2024 paper website
	Updating Robot Safety Representations Online from Natural Language Feedback L. Santos, Z. Li, L. Peters, S. Bansal^†, A. Bajcsy^† arXiv, 2024 * equal contribution, † equal advising paper website
	Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games R. Pandya, C. Liu, A. Bajcsy arXiv, 2024 paper website
	Robots that Suggest Safe Alternatives H.J. Jeong and A. Bajcsy arXiv, 2024 paper website
	Human–AI Safety: A Descendant of Generative AI and Control Systems Safety A. Bajcsy and J. Fisac arXiv, 2024 paper
	Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations J. Li, A. Siththaranjan, S. Sojoudi, C. Tomlin, A. Bajcsy arXiv, 2024 paper code

Publications

	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 paper website code
	Adaptive Human Trajectory Prediction via Latent Corridors N. Thakkar, K. Mangalam, A. Bajcsy, J. Malik European Conference on Computer Vision, 2024 paper website
	Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions M. Zhao, R. Simmons, H. Admoni, A. Bajcsy Robotics: Science and Systems, 2024 paper
	An Optimal Control Approach to Graphic Design A. Bajcsy SIGBOVIK, 2024 paper
	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 website code
	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 website code
	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 paper
	StROL: Stabilized and Robust Online Learning from Humans S.A. Mehta, F. Meng, A. Bajcsy, D.P. Losey Robotics and Automation Letters (RA-L), 2024 paper video
	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 paper video website code
	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 website code
	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 paper video website
	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 paper video
	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 code talk
	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 paper
	Analyzing Human Models that Adapt Online A. Bajcsy, A. Siththaranjan, C.J. Tomlin, A.D. Dragan International Conference on Robotics and Automation (ICRA), 2021 paper code
	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 paper
	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 paper code
	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) paper code
	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 video
	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 code
	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 video website code
	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 video code
	Learning under Misspecified Objective Spaces A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan Conference on Robot Learning (CoRL), 2018 (invited to special issue) paper video code
	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 (invited to special issue) * denotes equal contribution paper video code
	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 paper video code
	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 (oral, acceptance rate 10%) * denotes equal contribution paper video talk blog
	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 paper
	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 paper
	Systematic measurement of marginal mark types on voting ballots A. Bajcsy, Y.S. Li-Baboud, M. Brady NIST IR 8069, 2015 paper
	Depicting Web images for the blind and visually impaired A. Bajcsy, Y.S. Li-Baboud, M. Brady SPIE Newsroom, 2013 paper