Biblio

Found 23 results
Author Title [ Type(Desc)] Year
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Conference Paper
Wang, Y., N. Figueroa, S. Li, A. Shah, and J. Shah, "Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations", 6th Annual Conference on Robot Learning, Auckland, New Zealand, 12/2022.
Conference Proceedings
Dong, S., P. Conrad, J. A. Shah, B. Williams, D. Mittman, M. Ingham, and V. Verma, "Compliant Task Execution and Learning for Safe Mixed-Initiative Human-Robot Operations", AIAA Infotech@Aerospace (I@A), 06/2011.
Boerkoel, J. C., L. R. Planken, R. J. Wilcox, and J. A. Shah, "Distributed Algorithms for Incrementally Maintaining Multiagent Simple Temporal Networks", International Conference on Automated Planning and Scheduling (ICAPS), 06/2013.
Shah, J. A., P. Conrad, and B. Williams, "Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling", International Conference on Automated Planning and Scheduling (ICAPS) [34% acceptance rate], 09/2009.
Shah, J. A., and B. Williams, "Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation", International Conference on Automated Planning and Scheduling (ICAPS) [Best Student Paper Award], 09/2008.
Shah, J. A., J. Stedl, B. Williams, and P. Robertson, "A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans", International Conference on Automated Planning and Scheduling (ICAPS) [32% acceptance rate], 09/2007.
Gombolay, M. C., R. J. Wilcox, and J. A. Shah, "Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints", Robotics: Science and Systems (RSS) [30% Acceptance Rate], 06/2013.
Shah, J. A., P. Conrad, and B. Williams, "Flexible Execution of Plans with Choice", International Conference on Automated Planning and Scheduling (ICAPS), 09/2009.
Shah, J. A., J. Wiken, B. Williams, and C. Breazeal, "Improved Human-Robot Team Performance Using Chaski, a Human-Inspired Plan Execution System", ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Paper Nomination], 03/2011.
Shah, J. A., J. Wiken, B. Williams, and C. Breazeal, "Improved Human-Robot Team Performance Using Chaski, a Human-Inspired Plan Execution System", ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Paper Nomination], 03/2011.
Kim, J., M. E. Woicik, M. C. Gombolay, S-H. Son, and J. A. Shah, "Learning to Infer Final Plans in Human Team Planning", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2018.
Wilcox, R., and J. A. Shah, "Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing", 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.
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.
Thesis
Wilcox, R. James, "Flexible Schedule Optimization for Human-Robot Collaboration", Mechanical Engineering, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 101, 2013.
Workshop Paper
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
Gombolay, M. C., R. J. Wilcox, A. Diaz, F.. Yu, and J. A. Shah, "Towards Successful Coordination of Human and Robotic Work using Automated Scheduling Tools: An Initial Pilot Study", Robotics: Science and Systems (RSS), Workshop on Human-Robot Collaboration, 06/2013.
Wang, Y., C-Y. Ko, and P. Agrawal, "Visual Pre-training for Navigation: What Can We Learn from Noise?", Thirty-sixth Annual Conference on Neural Information Processing Systems, New Orleans, LA, Synthetic Data for Empowering ML Research Workshop & Self-Supervised Learning Workshop, 2022.