Biblio

Found 136 results

] Title 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

Z

Zhou, Y., S. Booth, N. Figueroa, and J. Shah, "RoCUS: Robot Controller Understanding via Sampling", Conference on Robot Learning (CoRL), London, UK, Proceedings of Machine Learning Research, 11/2021.

Zhou, Y., and J. Shah, "The Solvability of Interpretability Evaluation Metrics", Findings of the Association for Computational Linguistics: EACL: Association for Computational Linguistics, 05/2023.

Zhou, Y., S. Booth, M. Tulio Ribeiro, and J. Shah, "Do Feature Attribution Methods Correctly Attribute Features?", Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI, 02/2022.

Zhou, Y., M. Tulio Ribeiro, and J. Shah, "ExSum: From Local Explanations to Model Understanding", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Association for Computational Linguistics, 07/2022.

Zhou, Y., S. Schockaert, and J. A. Shah, "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness", The Web Conference (WWW), San Francisco, CA, ACM, 05/2019.

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.

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.

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.

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, "Fairness in Multi-Agent Sequential Decision-Making", Neural Information Processing Systems (NIPS), 12/2014.

Zhang, C., and J. A. Shah, "On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.

Y

Yang, X. Jessie, V. V. Unhelkar, K. Li, and J. A. Shah, "Evaluating Effects of User Experience and System Transparency on Trust in Automation", ACM/IEEE International Conference on Human Robot Interaction (HRI), 03/2017.

W

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.

Wilcox, R. James, "Flexible Schedule Optimization for Human-Robot Collaboration", Mechanical Engineering, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 101, 2013.

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.

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.

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.

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.

U

Unhelkar*, V. V., S. Li*, and J. A. Shah, "Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks", Human-Robot Interaction (HRI), 03/2020.

Unhelkar*, V. V., P. A. Lasota*, Q. Tyroller, R-D. Buhai, L. Marceau, B. Deml, and J. A. Shah, "Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time", IEEE Robotics and Automation Letters (RA-L), vol. 3, issue 3, pp. 8, 07/2018.

Unhelkar*, V. V., S. Li*, and J. A. Shah, "Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration", Conference on Robot Learning (CoRL), 10/2019.

Unhelkar, V. V., and J. A. Shah, "Enabling Effective Information Sharing in Human-Robot Teams", Robotics: Science and Systems (RSS), Workshop on RSS Pioneers , 06/2018.

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.

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.

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.

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