Andrea Bajcsy
abajcsy [at] berkeley [dot] edu
I am starting as an Assistant Professor at Carnegie Mellon University in Fall 2023.
I am recruiting PhD students for Fall 2023! Check out more information on joining the lab here.
I am a postdoctoral scholar at the University of California, Berkeley working with Jitendra Malik.
I completed my PhD in Electrical Engineering & Computer Science at UC Berkeley. I was advised by Anca Dragan and Claire Tomlin. I spent Spring 2021 at NVIDIA in the Autonomous Vehicle Research Group, working with Marco Pavone.
I study safe human-robot interaction, particularly when robots learn from and learn 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.
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Unsure how to pronounce my last name? Bajcsy sounds like BYE-chee.
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Publications
* indicates equal contribution and co-authorship.
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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
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website
 
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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
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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
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Analyzing Human Models that Adapt Online
A. Bajcsy, A. Siththaranjan, C.J. Tomlin, A.D. Dragan
International Conference on Robotics and Automation (ICRA), 2021
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code
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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
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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
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code
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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)
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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
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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
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code
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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
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video
 
website
 
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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
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video
 
code
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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
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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
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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
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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
 
video
 
talk
 
blog
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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
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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
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website adapted from here
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