I am a Ph.D. candidate 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 to date has been on developing robust human motion prediction schemes and designing safe but efficient robot motion planners. 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.
A. Bajcsy, S. Bansal, E. Ratner, C.J. Tomlin A.D. Dragan. A Robust Control Framework for Human Motion Prediction. IEEE Robotics and Automation Letters (RA-L), (under review).
A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan. Quantifying hypothesis space misspecificationin learning from human-robot demonstrationsand physical corrections. IEEE Transactions on Robotics (T-RO), 2020.
D. Fridovich-Keil*, A. Bajcsy*, J.F. Fisac, S.L. Herbert, S. Wang, A.D. Dragan, C.J. Tomlin. Confidence-aware motion prediction for real-time collision avoidance. International Journal of Robotics Research (IJRR), 2019.
D.P. Losey, A. Bajcsy, M.K. O'Malley, A.D. Dragan. Learning the Correct Objective Online from Physical Human-Robot Interaction. International Journal of Robotics Research (IJRR). (in submission).
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. A User-Centered Design and Analysis of an Electrostatic Haptic Touchscreen System for Students with Visual Impairments. International Journal of Human-Computer Studies, 2017.
S. Bansal*, A. Bajcsy*, E. Ratner*, A.D. Dragan, C.J. Tomlin. A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning. International Conference on Robotics and Automation (ICRA), 2020. (to appear).
A. Bajcsy*, S. Bansal*, E. Bronstein, V. Tolani, C.J. Tomlin. An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments. Conference on Decision and Control (CDC), 2019.
A. Bajcsy*, S.L. Herbert*, D. Fridovich-Keil, J.F. Fisac, S. Deglurkar, A.D. Dragan, C.J. Tomlin. A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. International Conference on Robotics and Automation (ICRA), 2019.
A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan. Learning under Misspecified Objective Spaces. Conference on Robot Learning (CORL), 2018.
J.F. Fisac*, A. Bajcsy*, S.L. Herbert, D. Fridovich-Keil, S. Wang, C.J. Tomlin, A.D. Dragan. Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. Robotics: Science and Systems (RSS), 2018.
A. Bajcsy , D.P. Losey, M.K. O'Malley, A.D. Dragan. Learning from Physical Human Corrections, One Feature at a Time. International Confernece on Human-Robot Interaction (HRI), 2018.
A. Bajcsy* , D.P. Losey*, M.K. O'Malley, A.D. Dragan. Learning Robot Objectives from Physical Human Robot Interaction. Conference on Robot Learning (CoRL), 2017.
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. A review of principles in design and usability testing of tactile technology for individuals with visual impairments. Assistive Technology, 2016.
A. Bajcsy, Y.S. Li-Baboud, M. Brady. Systematic measurement of marginal mark types on voting ballots. NIST IR 8069, 2015.
A. Bajcsy, Y.S. Li-Baboud, M. Brady. Depicting Web images for the blind and visually impaired. SPIE Newsroom, 2013.