Biblio

Found 16 results
Author Title [ Type(Desc)] Year
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Conference Paper
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
Gombolay, M. C., C. Huang, and J. A. Shah, "Coordination of Human-Robot Teaming with Human Task Preferences", AAAI Fall Symposium Series on AI-HRI, 11/2015.
Ramakrishnan, R., E. Kamar, D. Dey, J. Shah, and E. Horvitz, "Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
Iqbal, T., S. Li, C. Fourie, B. Hayes, and J. A. Shah, "Fast Online Segmentation of Activities from Partial Trajectories", International Conference on Robotics and Automation (ICRA), 05/2019.
Hayes, B., and J. A. Shah, "Improving Robot Controller Transparency Through Autonomous Policy Explanation", ACM/IEEE International Conference on Human Robot Interaction (HRI), 03/2017.
Hayes, B., and J. A. Shah, "Interpretable Models for Fast Activity Recognition and Anomaly Explanation During Collaborative Robotics Tasks", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.
Hopkins*, A., and S. Booth*, "Machine learning practices outside big tech: How resource constraints challenge responsible development", Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021.
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.
Gombolay, M., X. Jessie Yang, B. Hayes, N. Seo, Z. Liu, S. Wadhwania, T. Yu, N. Shah, T. Golen, and J. Shah, "Robotic Assistance in Coordination of Patient Care", Robotics: Science and Systems (RSS), 06/2016.
Journal Article
Shah, J. A., J. H. Saleh, and J. A. Hoffman, "Analytical Basis for Evaluating the Effect of Unplanned Interventions on the Effectiveness of a Human–Robot System", Reliability Engineering & System Safety, vol. 93, 08/2008.
Gombolay, M., A. Bair, C. Huang, and J. Shah, "Computational Design of Mixed-Initiative Human–Robot Teaming That Considers Human Factors: Situational Awareness, Workload, and Workflow Preferences", The International Journal of Robotics Research (IJRR), vol. 36, issue 5-7, pp. 597-617, 02/2017.
Winfield, A. F. T., S. Booth, L. A. Dennis, T. Egawa, H. Hastie, N. Jacobs, R. I. Muttram, J. I. Olszewska, F. Rajabiyazdi, A. Theodorou, et al., "IEEE P7001: a proposed standard on transparency", Frontiers in Robotics and AI, pp. 225, 2021.
Shah, J. A., J. H. Saleh, and J. A. Hoffman, "Review and Synthesis of Considerations in Architecting Heterogeneous Teams of Humans and Robots for Optimal Space Exploration", IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 37, issue 5, pp. 779-793, 09/2007.
Gombolay, M., X. Jessie Yang, B. Hayes, N. Seo, Z. Liu, S. Wadhwania, T. Yu, N. Shah, T. Golen, and J. Shah, "Robotic assistance in the coordination of patient care", International Journal of Robotics Research (IJRR) (Accepted 02/2018—To Appear), 2018.
Workshop Paper
Horter, T., E. L. Glassman, J. Shah, and S. Booth, "Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions", ACM/IEEE International Conference on Human-Robot Interaction (HRI), Human-Interactive Robot Learning (HIRL) , 2023.