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.

email   |   cv   |   google scholar   |   github  |   bio

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

News

Publications

* indicates equal contribution and co-authorship.

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
preprint

paper   video

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

paper

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
R. Tian*, L. Sun*, A. Bajcsy*, M. Tomizuka, A.D. Dragan
ICRA 2022

paper   code

Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
D.P. Losey, A. Bajcsy, M.K. O'Malley, A.D. Dragan
IJRR 2021

paper

Analyzing Human Models that Adapt Online
A. Bajcsy, A. Siththaranjan, C.J. Tomlin, A.D. Dragan
ICRA 2021

paper   code

Efficient Dynamics Estimation with Adaptive Model Sets
E. Ratner, A. Bajcsy, C.J. Tomlin, A.D. Dragan
RA-L 2021

paper

A Robust Control Framework for Human Motion Prediction
A. Bajcsy, S. Bansal, E. Ratner, C.J. Tomlin A.D. Dragan
RA-L 2020

paper   code

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
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
ICRA 2020

paper   video

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
IJRR 2019

paper   code

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
A. Bajcsy*, S. Bansal*, E. Bronstein, V. Tolani, C.J. Tomlin
CDC 2019

paper   video   website   code

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
ICRA 2019

paper   video   code


Learning under Misspecified Objective Spaces
A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan
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
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
HRI 2018

paper   video   code

Learning Robot Objectives from Physical Human Robot Interaction
A. Bajcsy* , D.P. Losey*, M.K. O'Malley, A.D. Dragan
CoRL 2017

(oral, acceptance rate 10%)



paper   video   talk   blog

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

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

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

paper

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