Andrea Bajcsy

According to our database, Andrea Bajcsy authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

StROL: Stabilized and Robust Online Learning From Humans.

Shaunak A. Mehta, Forrest Meng, Andrea Bajcsy, Dylan P. Losey

IEEE Robotics Autom. Lett., 2024

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment.

Ran Tian, Yilin Wu, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy

CoRR, 2024

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos.

Gengshan Yang, Andrea Bajcsy, Shunsuke Saito, Angjoo Kanazawa

CoRR, 2024

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback.

Michelle Zhao, Reid G. Simmons, Henny Admoni, Aaditya Ramdas, 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

Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games.

Ravi Pandya, Changliu Liu, Andrea Bajcsy

CoRR, 2024

Robots that Suggest Safe Alternatives.

Hyun Joe Jeong, Andrea Bajcsy

CoRR, 2024

Human-AI Safety: A Descendant of Generative AI and Control Systems Safety.

Andrea Bajcsy, Jaime F. Fisac

CoRR, 2024

A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures.

Kensuke Nakamura, Ran Tian, Andrea Bajcsy

CoRR, 2024

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations.

Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy

CoRR, 2024

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions.

Michelle D. Zhao, Reid G. Simmons, Henny Admoni, Andrea Bajcsy

Proceedings of the Robotics: Science and Systems XX, 2024

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions.

Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Vision-based Pursuit-Evasion Robot Policies.

Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

What Matters to You? Towards Visual Representation Alignment for Robot Learning.

Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Human Trajectory Prediction via Latent Corridors.

Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

What Matters to You? Towards Visual Representation Alignment for Robot Learning.

Ran Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy

CoRR, 2023

Learning-Aware Safety for Interactive Autonomy.

Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime F. Fisac

CoRR, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Modeling and Influencing the Dynamics of Human Learning.

Ran Tian, Masayoshi Tomizuka, Anca D. Dragan, Andrea Bajcsy

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy.

Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac

Proceedings of the Conference on Robot Learning, 2023

2022

Bridging Safety and Learning in Human-Robot Interaction

Andrea Bajcsy

PhD thesis, 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

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models.

Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

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

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts.

Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone

CoRR, 2021

Analyzing Human Models that Adapt Online.

Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

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

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Proceedings of the International Conference on Robotics and Automation, 2019

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments.

Andrea Bajcsy, Somil Bansal, Eli Bronstein, Varun Tolani, Claire J. Tomlin

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

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, Ramkesh Renganathan, Amy Zhang, Márcio A. Oliveira

Int. J. Hum. Comput. Stud., 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

Proceedings of the Robotics: Science and Systems XIV, 2018

Learning from Physical Human Corrections, One Feature at a Time.

Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Learning under Misspecified Objective Spaces.

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Learning Robot Objectives from Physical Human Interaction.

Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017