Biblio

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Li, S., N. Figueroa, A. Shah, and J. A. Shah, "Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics", Robotics: Science and Systems (R:SS), 07/2021.
Fong, T., J. Scholtz, J. A. Shah, L. Fluckiger, C. Kunz, D. Lees, J. Schreiner, M. Siegel, L. M. Hiatt, I. Nourbakhsh, et al., "A Preliminary Study of Peer-to-Peer Human-Robot Interaction", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
Zhou, Y., S. Schockaert, and J. A. Shah, "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness", The Web Conference (WWW), San Francisco, CA, ACM, 05/2019.
Unhelkar, V. V., R-D. Buhai, and J. A. Shah, "Planning in Dynamic Environments using Evolving Time-Indexed Graphs", Robotics: Science and Systems (RSS), Workshop on Planning for Human-Robot Interaction, 06/2016.
Shah, A. Jayesh, "Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly", Department of Aeronautics and Astronautics, vol. S.M., 2016.
Shah, A. J., L. Blumberg, and J. Shah, "Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly", IEEE Transactions on Automation Science and Engineering (T-ASE), pp. 1-16, 03/2018.
Boerkoel, J. C., and J. A. Shah, "Planning for Flexible Human-Robot Co-navigation in Dynamic Manufacturing Environments", ACM/IEEE International Conference on Human Robot Interaction (HRI), Workshop on HRI Pioneers, 03/2013.
Ramakrishnan, R., "Perturbation Training for Human-Robot Teams", Department of Electrical Engineering and Computer Science, vol. S.M., 2015.
Ramakrishnan, R., C. Zhang, and J. Shah, "Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research (JAIR), vol. 59, 07/2017.
Booth, S., B. W. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications", Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C. , 02/2023.