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Andrea Bajcsy
abajcsy [at] berkeley [dot] edu

I am a Ph.D. candidate at University of California, Berkeley working with Anca Dragan and Claire Tomlin. I am broadly interested in the intersection of robotics, control theory, machine learning, and human-robot interaction.

Much of my research focuses on combining data-driven human models and control theoretic-tools to develop robust human motion predictors and safe motion planners for robots operating in close physical proximity to people. A large component of my work involves designing robots which reason about the validity of their models online in light of new data.

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

email   |   cv   |   google scholar   |   github

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News

  • [April 2021]

    I'm excited to join NVIDIA for an internship in the Autonomous Driving Research group led by Marco Pavone.
  • [Mar 2021]

    Our paper on analyzing human models that adapt online was accepted to ICRA 2021!
  • [Feb 2021]

    I gave a talk at University of Pennsylvania on analyzing human models that adapt online.
  • [Dec 2020]

    I gave a talk on safe robots which learn from (and about) humans at the University of Chicago Laboratory School for the middle and high-school robotics club.
  • [Dec 2020]

    I gave a talk at ETH Zurich on introspective human motion prediction for safe robot autonomy.
  • [Nov 2020]

    I gave a talk at University of Washington on introspective human motion prediction for safe robot autonomy.

Publications

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

2021

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

Learning the Correct Objective Online from Physical Human-Robot Interaction
D.P. Losey, A. Bajcsy, M.K. O'Malley, A.D. Dragan
International Journal of Robotics Research (IJRR), 2021 (under review)
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 misspecificationin 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



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