Biblio

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Zheng, Y., S. Booth, J. Shah, and Y. Zhou, "The Irrationality of Neural Rationale Models", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2nd Workshop on Trustworthy Natural Langauge Processing (TrustNLP), 07/2022.
Unhelkar, V. V., "Introducing Mobile Robots on the Automotive Final Assembly Line: Control, Sensing and Human-Robot Interaction", Aeronautics and Astronautics, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 107, 2015.
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.
Kim, B., "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", Department of Aeronautics and Astronautics, vol. Ph. D., 2015.
Kotowick, K., and J. Shah, "Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Conference on Intelligent User Interfaces (IUI), 03/2017.
Kim, B., C. M. Chacha, and J. A. Shah, "Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior", Journal of Artificial Intelligence Research (JAIR) , pp. 361-398, 2015.
Kim, B., C. M. Chacha, and J. A. Shah, "Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior", AAAI Conference on Artificial Intelligence (AAAI) [29% Acceptance Rate], 07/2013.
Johnson, B. E., "Inferring Final Plans: Expanding on a Generative and Logic-Based Approach", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2017.
Sturla, G. F., and J. A. Shah, "Incremental Scheduling with Upper and Lowerbound Temporospatial Constraints", AIAA Infotech@Aerospace (I@A), 01/2016.
Unhelkar, V. V., R-D. Buhai, and J. A. Shah, "Incremental Path Planning in Time to Leverage Evolving Predictions", International Joint Conferences on Artificial Intelligence (IJCAI), Workshop on Autonomous Mobile Service Robots, New York, NY, 07/2016.
Kim, J., "Improving Team's Consistency of Understanding in Meetings: Intelligent Agent Participation and Human Subject Studies", Aeronautics and Astronautics, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 66, 2015.
Kim, J., and J. A. Shah, "Improving Team's Consistency of Understanding in Meetings", IEEE Transactions on Human-Machine Systems (THMS), vol. 46, issue 5, pp. 625-637, 04/2016.
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.
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.
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.
Butchibabu, A., C. Sparano-Huiban, L. Sonenberg, and J. Shah, "Implicit Coordination Strategies for Effective Team Communication", Human Factors: The Journal of the Human Factors and Ergonomics Society (HFES), vol. 58, issue 4, 06/2016.
Kim, D., "Imitation Learning for Sequential Manipulation Tasks: Leveraging Language and Perception", Department of Electrical Engineering and Computer Science, vol. M. Eng: Massachusetts Institute of Technology, 2021.
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.