Andrea Bajcsy
Cited by
Cited by
Learning robot objectives from physical human interaction
A Bajcsy, DP Losey, MK O’Malley, AD Dragan
Proceedings of Machine Learning Research 78, 217-226, 2017
Learning from physical human corrections, one feature at a time
A Bajcsy, DP Losey, MK O'Malley, AD Dragan
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018
Probabilistically safe robot planning with confidence-based human predictions
JF Fisac, A Bajcsy, SL Herbert, D Fridovich-Keil, S Wang, CJ Tomlin, ...
arXiv preprint arXiv:1806.00109, 2018
A scalable framework for real-time multi-robot, multi-human collision avoidance
A Bajcsy, SL Herbert, D Fridovich-Keil, JF Fisac, S Deglurkar, AD Dragan, ...
2019 international conference on robotics and automation (ICRA), 936-943, 2019
A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments
A Bateman, OK Zhao, AV Bajcsy, MC Jennings, BN Toth, AJ Cohen, ...
International Journal of Human-Computer Studies 109, 102-111, 2018
An efficient reachability-based framework for provably safe autonomous navigation in unknown environments
A Bajcsy, S Bansal, E Bronstein, V Tolani, CJ Tomlin
2019 IEEE 58th Conference on Decision and Control (CDC), 1758-1765, 2019
Learning under misspecified objective spaces
A Bobu, A Bajcsy, JF Fisac, AD Dragan
arXiv preprint arXiv:1810.05157, 2018
A review of principles in design and usability testing of tactile technology for individuals with visual impairments
EL Horton, R Renganathan, BN Toth, AJ Cohen, AV Bajcsy, A Bateman, ...
Assistive Technology 29 (1), 28-36, 2017
Confidence-aware motion prediction for real-time collision avoidance1
D Fridovich-Keil, A Bajcsy, JF Fisac, SL Herbert, S Wang, AD Dragan, ...
The International Journal of Robotics Research 39 (2-3), 250-265, 2020
A Hamilton-Jacobi reachability-based framework for predicting and analyzing human motion for safe planning
S Bansal, A Bajcsy, E Ratner, AD Dragan, CJ Tomlin
arXiv preprint arXiv:1910.13369, 2019
Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections
A Bobu, A Bajcsy, JF Fisac, S Deglurkar, AD Dragan
IEEE Transactions on Robotics 36 (3), 835-854, 2020
Systematic measurement of marginal mark types on voting ballots
A Bajcsy, YS Li-Baboud, M Brady
NIST Interagency/Internal Report (NISTIR)-, 2015
Depicting web images for the blind and visually impaired
A Bajcsy, YS Li-Baboud, M Brady
SPIE Newsroom, 2013
A Haptic System for Depicting Mathematical Graphics for Students with Visual Impairments
A Bajcsy, A Bateman, A Cohen, E Horton, M Jennings, A Khattar, R Kuo, ...
From Web Graphics to 3D Haptics
A Bajcsy, YS Li-Baboud, M Brady
Relating Quantitative Measurements to Human Assessments of Voting Ballot Mark Types
A Bajcsy, YS Li-Baboud, M Brady
Scalable Confidence-Aware Safety Analysis for Robot Planning around Multiple Humans
JF Fisac, D Fridovich-Keil, A Bajcsy, S Herbert, S Deglurkar, C Tomlin, ...
Confidence-Aware Safety for Human-Robot Systems
J Fisac, A Bajcsy, SHDFK Steven, WCTA Dragan
Electronic Imaging & Signal Processing Depicting Web images for the blind and visually impaired
A Bajcsy, YS Li-Baboud, M Brady
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