Biblio

Found 130 results
Author [ Title(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
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.
Zhang, C., and J. A. Shah, "Co-Optimizing Task and Motion Planning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10/2016.
Zhang, C., and J. A. Shah, "Co-Optimization Multi-Agent Placement with Task Assignment and Scheduling", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
Unhelkar, V. V., and J. A. Shah, "ConTaCT : Deciding to Communicate During Time-Critical Collaborative Tasks in Unknown, Deterministic Domains", AAAI Conference on Artificial Intelligence (AAAI) [26% Acceptance Rate], 02/2016.
Nikolaidis, S. Z., "Computational Formulation, Modeling and Evaluation of Human-Robot Team Training Techniques", Department of Aeronautics and Astronautics, vol. S.M., 2014.
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.
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.
Unhelkar, V. V., H. Chit Siu, and J. A. Shah, "Comparative Performance of Human and Mobile Robotic Assistants in Collaborative Fetch-and-Deliver Tasks", ACM/IEEE International Conference on Human Robot Interaction (HRI), 03/2014.
Kim, J., C. J. Banks, and J. A. Shah, "Collaborative Planning with Encoding of Users’ High-level Strategies", AAAI Conference on Artificial Intelligence (AAAI), 02/2017.
Pérez-D'Arpino, C., and J. A. Shah, "C-LEARN: Learning Geometric Constraints from Demonstrations for Multi-Step Manipulation in Shared Autonomy", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.
Unhelkar, V. V., and J. A. Shah, "Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines", ACM/IEEE International Conference on Human Robot Interaction (HRI), Workshop on HRI Pioneers, pp. 239-240, 03/2015.
Unhelkar, V. V., X. Jessie Yang, and J. A. Shah, "Challenges for Communication Decision-Making in Sequential Human-Robot Collaborative Tasks", Robotics: Science and Systems (RSS), Workshop on Mathematical Models, Algorithms, and Human-Robot Interaction, 07/2017.
B
Booth*, S., Y. Zhou*, A. Shah, and J. Shah, "Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example", AAAI Conference on Artificial Intelligence, 2021.
Shah, A., P. Kamath, S. Li, and J. Shah, "Bayesian Inference of Temporal Task Specifications from Demonstrations", Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
Kim, J., C. Muise, A. Shah, S. Agarwal, and J. Shah, "Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Lasota, P. A., and J. A. Shah, "Bayesian Estimator for Partial Trajectory Alignment", Robotics: Science and Systems [31% Acceptance Rate], 06/2019.
Kim, B., C. Rudin, and J. Shah, "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification", Neural Information Processing Systems (NIPS), 12/2014.
A
Kim, J., and J. A. Shah, "Automatic Prediction of Consistency among Team Members' Understanding of Group Decisions in Meetings", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2014.

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