Learning Robot Objectives from Physical Human Interaction. - Andrea Bajcsy; Dylan P. Losey; Marcia K. O'Malley; Anca D. Dragan (CoRL, 2017)

Learning under Misspecified Objective Spaces. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Anca D. Dragan (CoRL, 2018)

Learning from Physical Human Corrections, One Feature at a Time. - Andrea Bajcsy; Dylan P. Losey; Marcia K. O'Malley; Anca D. Dragan (HRI, 2018)

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. - Jaime F. Fisac; Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Steven Wang; Claire J. Tomlin; Anca D. Dragan (Robotics: Science and Systems, 2018)

A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments. - Amelia Bateman; Oliver K. Zhao; Andrea V. Bajcsy; Mathew C. Jennings; Bryan N. Toth; Alexa J. Cohen; Emily L. Horton; Anish Khattar; Ryan S. Kuo; Felix A. Lee; Meilin K. Lim; Laura W. Migasiuk; et al. (Int. J. Hum. Comput. Stud., 2018)

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments. - Andrea Bajcsy; Somil Bansal; Eli Bronstein; Varun Tolani; Claire J. Tomlin (CDC, 2019)

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. - Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan; Claire J. Tomlin (ICRA, 2019)

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. - Somil Bansal; Andrea Bajcsy; Ellis Ratner; Anca D. Dragan; Claire J. Tomlin (ICRA, 2020)

Confidence-aware motion prediction for real-time collision avoidance1. - David Fridovich-Keil; Andrea Bajcsy; Jaime F. Fisac; Sylvia L. Herbert; Steven Wang; Anca D. Dragan; Claire J. Tomlin (Int. J. Robotics Res., 2020)

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan (IEEE Trans. Robotics, 2020)

Analyzing Human Models that Adapt Online. - Andrea Bajcsy; Anand Siththaranjan; Claire J. Tomlin; Anca D. Dragan (ICRA, 2021)

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. - Andrea Bajcsy; Karen Leung; Edward Schmerling; Marco Pavone 001 (CoRR, 2021)

A Robust Control Framework for Human Motion Prediction. - Andrea Bajcsy; Somil Bansal; Ellis Ratner; Claire J. Tomlin; Anca D. Dragan (IEEE Robotics Autom. Lett., 2021)

Efficient Dynamics Estimation With Adaptive Model Sets. - Ellis Ratner; Andrea Bajcsy; Terrence Fong; Claire J. Tomlin; Anca D. Dragan (IEEE Robotics Autom. Lett., 2021)

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models. - Ran Tian; Liting Sun; Andrea Bajcsy; Masayoshi Tomizuka; Anca D. Dragan (ICRA, 2022)

Physical interaction as communication: Learning robot objectives online from human corrections. - Dylan P. Losey; Andrea Bajcsy; Marcia K. O'Malley; Anca D. Dragan (Int. J. Robotics Res., 2022)

Bridging Safety and Learning in Human-Robot Interaction - Andrea Bajcsy (2022)

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy. - Haimin Hu; Zixu Zhang; Kensuke Nakamura 002; Andrea Bajcsy; Jaime Fernández Fisac (CoRL, 2023)

Towards Modeling and Influencing the Dynamics of Human Learning. - Ran Tian; Masayoshi Tomizuka; Anca D. Dragan; Andrea Bajcsy (HRI, 2023)

Towards Robots that Influence Humans over Long-Term Interaction. - Shahabedin Sagheb; Ye-Ji Mun; Neema Ahmadian; Benjamin A. Christie; Andrea Bajcsy; Katherine Driggs-Campbell; Dylan P. Losey (ICRA, 2023)

Learning-Aware Safety for Interactive Autonomy. - Haimin Hu; Zixu Zhang; Kensuke Nakamura 002; Andrea Bajcsy; Jaime F. Fisac (CoRR, 2023)

What Matters to You? Towards Visual Representation Alignment for Robot Learning. - Ran Tian; Chenfeng Xu; Masayoshi Tomizuka; Jitendra Malik; Andrea Bajcsy (CoRR, 2023)

Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures. - Kensuke Nakamura 002; Thomas Tian; Andrea Bajcsy (CoRL, 2024)

Adaptive Human Trajectory Prediction via Latent Corridors. - Neerja Thakkar; Karttikeya Mangalam; Andrea Bajcsy; Jitendra Malik (ECCV (38), 2024)

What Matters to You? Towards Visual Representation Alignment for Robot Learning. - Thomas Tian; Chenfeng Xu; Masayoshi Tomizuka; Jitendra Malik; Andrea Bajcsy (ICLR, 2024)

Learning Vision-based Pursuit-Evasion Robot Policies. - Andrea Bajcsy; Antonio Loquercio; Ashish Kumar 007; Jitendra Malik (ICRA, 2024)

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. - Jordan Lekeufack; Anastasios N. Angelopoulos; Andrea Bajcsy; Michael I. Jordan; Jitendra Malik (ICRA, 2024)

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions. - Michelle D. Zhao; Reid G. Simmons; Henny Admoni; Andrea Bajcsy (Robotics: Science and Systems, 2024)

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. - Jingqi Li 001; Anand Siththaranjan; Somayeh Sojoudi; Claire J. Tomlin; Andrea Bajcsy (CoRR, 2024)

A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures. - Kensuke Nakamura 002; Ran Tian; Andrea Bajcsy (CoRR, 2024)

Human-AI Safety: A Descendant of Generative AI and Control Systems Safety. - Andrea Bajcsy; Jaime F. Fisac (CoRR, 2024)

Robots that Suggest Safe Alternatives. - Hyun Joe Jeong; Andrea Bajcsy (CoRR, 2024)

Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games. - Ravi Pandya; Changliu Liu; Andrea Bajcsy (CoRR, 2024)

Updating Robot Safety Representations Online from Natural Language Feedback. - Leonardo Santos; Zirui Li; Lasse Peters; Somil Bansal; Andrea Bajcsy (CoRR, 2024)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment. - Ran Tian; Yilin Wu 003; Chenfeng Xu; Masayoshi Tomizuka; Jitendra Malik; Andrea Bajcsy (CoRR, 2024)

StROL: Stabilized and Robust Online Learning From Humans. - Shaunak A. Mehta; Forrest Meng; Andrea Bajcsy; Dylan P. Losey (IEEE Robotics Autom. Lett., 2024)

Contingency Games for Multi-Agent Interaction. - Lasse Peters; Andrea Bajcsy; Chih-Yuan Chiu; David Fridovich-Keil; Forrest Laine; Laura Ferranti; Javier Alonso-Mora (IEEE Robotics Autom. Lett., 2024)

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos. - Gengshan Yang; Andrea Bajcsy; Shunsuke Saito; Angjoo Kanazawa (ICLR, 2025)

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback. - Michelle D. Zhao; Henny Admoni; Reid G. Simmons; Aaditya Ramdas; Andrea Bajcsy (ICLR, 2025)

Your Learned Constraint is Secretly a Backward Reachable Tube. - Mohamad Qadri; Gokul Swamy; Jonathan Francis; Michael Kaess; Andrea Bajcsy (CoRR, 2025)

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis. - Kensuke Nakamura 002; Lasse Peters; Andrea Bajcsy (CoRR, 2025)

From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment. - Yilin Wu 003; Ran Tian; Gokul Swamy; Andrea Bajcsy (CoRR, 2025)

A Unified Framework for Robots that Influence Humans over Long-Term Interaction. - Shahabedin Sagheb; Sagar Parekh; Ravi Pandya; Ye-Ji Mun; Katie Driggs-Campbell; Andrea Bajcsy; Dylan P. Losey (CoRR, 2025)

Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures. - Junwon Seo; Kensuke Nakamura 002; Andrea Bajcsy (CoRR, 2025)

Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence. - Pranay Gupta; Henny Admoni; Andrea Bajcsy (CoRR, 2025)

Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control. - Yuxin Chen; Jianglan Wei; Chenfeng Xu; Boyi Li; Masayoshi Tomizuka; Andrea Bajcsy; Ran Tian (CoRR, 2025)