Biblio

Found 13 results
Author Title [ Type(Desc)] Year
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Conference Paper
Booth, S., W. B. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "Extended Abstract: Graduate Student Descent Considered Harmful? A Proposal for Studying Overfitting in Reward Functions", The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Providence, RI, 2022.
Knox, W. B., S. Hatgis-Kessell, S. Booth, S. Niekum, P. Stone, and A. Allievi, "Extended Abstract: Partial Return Poorly Explains Human Preferences", The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Providence, RI, 2022.
Conference Proceedings
Lasota, P. A., S. Nikolaidis, and J. A. Shah, "Developing an Adaptive Robotic Assistant for Close Proximity Human-Robot Collaboration in Space", AIAA Infotech@Aerospace (I@A), 08/2013.
Nikolaidis, S., R. Ramakrishnan, K. Gu, and J. A. Shah, "Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks", ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Enabling Technology Paper], Portland, Oregon, USA, 03/2015.
Nikolaidis, S., P. A. Lasota, Gregory Rossano, Carlos Martinez, Thomas Fuhlbrigge, and J. Shah, "Human-Robot Collaboration in Manufacturing: Quantitative Evaluation of Predictable, Convergent Joint Action", International Symposium on Robotics (ISR) [Best Paper Nomination], 10/2013.
Nikolaidis, S., and J. A. Shah, "Human-Robot Cross-Training: Computational Formulation, Modeling and Evaluation of a Human Team Training Strategy", ACM/IEEE International Conference on Human Robot Interaction (HRI) [25% Acceptance Rate], 03/2013.
Nikolaidis, S., and J. A. Shah, "Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach", AIAA Infotech@Aerospace (I@A), 06/2012.
Wilcox, R., S. Nikolaidis, and J. A. Shah, "Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing", Robotics: Science and Systems (RSS) [33% acceptance rate], 07/2012.
Ramakrishnan, R., E. Kamar, B. Nushi, D. Dey, J. Shah, and E. Horvitz, "Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution", Association for the Advancement of Artificial Intelligence, 01/2019.
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.
Journal Article
Nikolaidis, S., P. Lasota, R. Ramakrishnan, and J. Shah, "Improved human–robot team performance through cross-training, an approach inspired by human team training practices", International Journal of Robotics Research (IJRR), vol. 34, issue 14, pp. 1711-1730, 12/2015.
Thesis
Nikolaidis, S. Z., "Computational Formulation, Modeling and Evaluation of Human-Robot Team Training Techniques", Department of Aeronautics and Astronautics, vol. S.M., 2014.
Workshop Paper
Nikolaidis, S., and J. A. Shah, "Human-Robot Teaming using Shared Mental Models", ACM/IEEE International Conference on Human Robot Interaction (HRI), Workshop on Human-Agent-Robot Teamwork, 03/2012.