Biblio

Found 135 results

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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.

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.

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.

Kotowick, K., and J. Shah, "Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Conference on Intelligent User Interfaces (IUI), 03/2017.

Kim, B., "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", Department of Aeronautics and Astronautics, vol. Ph. D., 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.

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.

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.

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Zhou, Y., J. Shah, and S. Schockaert, "Learning Household Task Knowledge from WikiHow Descriptions", International Joint Conference on Artificial Intelligence (IJCAI), Workshop on Semantic Deep Learning, 08/2019.

Unhelkar, V. V., and J. A. Shah, "Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior", AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, 2019.

Gutierrez, R. Alejandro, "Learning Task-Oriented Grasp Heuristics from Demonstration", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2016.

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.

M

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.

Kim, B., J. Shah, and F. Doshi-Velez, "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Neural Information Processing Systems (NIPS), 12/2015.

Unhelkar, V. V., S. Dörr, A. Bubeck, P. A. Lasota, J. Perez, H. Chit Siu, J B. C. Jr., Q. Tyroller, J. Bix, S. Bartscher, et al., "Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment", IEEE Robotics and Automation Magazine (RAM), vol. 25, issue 2, 05/2018.

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.

Lasota, P. A., and J. A. Shah, "A Multiple-Predictor Approach to Human Motion Prediction", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.

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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.

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.

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Booth, S., B. W. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications", Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C. , 02/2023.

Ramakrishnan, R., C. Zhang, and J. Shah, "Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research (JAIR), vol. 59, 07/2017.

Ramakrishnan, R., "Perturbation Training for Human-Robot Teams", Department of Electrical Engineering and Computer Science, vol. S.M., 2015.

Boerkoel, J. C., and J. A. Shah, "Planning for Flexible Human-Robot Co-navigation in Dynamic Manufacturing Environments", ACM/IEEE International Conference on Human Robot Interaction (HRI), Workshop on HRI Pioneers, 03/2013.

Shah, A. J., L. Blumberg, and J. Shah, "Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly", IEEE Transactions on Automation Science and Engineering (T-ASE), pp. 1-16, 03/2018.

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