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Andrea Bajcsy
abajcsy [at] berkeley [dot] edu

I will be starting as an Assistant Professor at Carnegie Mellon University (CMU) in Fall 2023!

I am a final-year Ph.D. candidate at University of California, Berkeley working with Anca Dragan and Claire Tomlin.

I study safe human-robot interaction, particularly when robots learn from and about people.

My research unites traditionally disparate methods from control theory and machine learning to develop theoretical frameworks and practical algorithms for human-robot interaction. I ground my work through a variety of applications—from assistive robotic arms, to quadrotors, to autonomous cars—and in experiments with real human participants.

At Berkeley, I get to collaborate with some amazing people in the InterACT Lab and the Hybrid Systems Lab. I have been graciously supported by the NSF Graduate Research Fellowship.

email   |   cv   |   google scholar   |   github

profile photo

Unsure how to pronounce my last name? Bajcsy sounds like BYE-chee.

News

Publications

For the most up-to-date list of publications, please see google scholar.
* indicates equal contribution and co-authorship.

Preprints

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts
A. Bajcsy*, K. Leung*, E. Schmerling, M. Pavone
paper

2022

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
paper

2021

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

2020

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

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
paper   |   video

2019

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
paper

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
A. Bajcsy*, S. Bansal*, E. Bronstein, V. Tolani, C.J. Tomlin
Conference on Decision and Control (CDC), 2019
paper   |   video   |   project website

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
paper   |   video   |   code

2018

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)


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 Confernece on Human-Robot Interaction (HRI), 2018
paper   |   video

2017

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%)


paper   |   talk   |   blog   |   video

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

2016

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.V. 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

2015

Systematic measurement of marginal mark types on voting ballots
A. Bajcsy, Y.S. Li-Baboud, M. Brady
NIST IR 8069, 2015
paper

2013

Depicting Web images for the blind and visually impaired
A. Bajcsy, Y.S. Li-Baboud, M. Brady
SPIE Newsroom, 2013
paper



website adapted from here