Andrea Bajcsy

Orcid: 0000-0001-7969-9376

Affiliations:

Carnegie Mellon University, Pittsburgh, PA, USA
University of California, Berkeley, CA, USA

According to our database¹, Andrea Bajcsy authored at least 37 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Contingency Games for Multi-Agent Interaction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

StROL: Stabilized and Robust Online Learning From Humans.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Updating Robot Safety Representations Online from Natural Language Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Ravi Pandya

Changliu Liu

Andrea Bajcsy

CoRR, 2024

Robots that Suggest Safe Alternatives.

[BibT_eX]

[DOI]

Hyun Joe Jeong

Andrea Bajcsy

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Andrea Bajcsy

Jaime F. Fisac

CoRR, 2024

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

[BibT_eX]

[DOI]

Kensuke Nakamura

Ran Tian

Andrea Bajcsy

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Human Trajectory Prediction via Latent Corridors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Learning-Aware Safety for Interactive Autonomy.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Robots that Influence Humans over Long-Term Interaction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Jaime Fernández Fisac

Proceedings of the Conference on Robot Learning, 2023

2022

Bridging Safety and Learning in Human-Robot Interaction

[BibT_eX]

[DOI]

Andrea Bajcsy

PhD thesis, 2022

Physical interaction as communication: Learning robot objectives online from human corrections.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2022

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

[BibT_eX]

[DOI]

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

2021

Efficient Dynamics Estimation With Adaptive Model Sets.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

A Robust Control Framework for Human Motion Prediction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Analyzing Human Models that Adapt Online.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

Confidence-aware motion prediction for real-time collision avoidance<sup>1</sup>.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

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

[BibT_eX]

[DOI]

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

Learning under Misspecified Objective Spaces.

[BibT_eX]

[DOI]

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

2017

Learning Robot Objectives from Physical Human Interaction.

[BibT_eX]

[DOI]

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

Andrea Bajcsy

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