Biblio

Found 135 results
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G
Gombolay, M., R. Jensen, J. Stigile, S-H. Son, and J. Shah, "Apprenticeship Scheduling: Learning to Schedule from Human Experts", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
Gombolay, M., R. Wilcox, and J. Shah, "Fast Scheduling of Robot Teams Performing Tasks with Temporospatial Constraints", IEEE Transactions on Robotics (T-RO), vol. 34, issue 1, pp. 220-239, 02/2018.
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 the coordination of patient care", International Journal of Robotics Research (IJRR) (Accepted 02/2018—To Appear), 2018.
Gombolay, M. C., R. A. Gutierrez, G. F. Sturla, and J. A. Shah, "Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams", Robotics: Science and Systems (RSS), 07/2014.
Gombolay, M. C., "Fast Methods for Scheduling with Applications to Real-Time Systems and Large-Scale, Robotic Manufacturing of Aerospace Structures", Aeronautics and Astronautics, vol. S.M., pp. 117, 06/2013.
Gombolay, M. C., and J. A. Shah, "Schedulability Analysis of Task Sets with Upper and Lowerbound Temporal Constraints", Journal of Aerospace Information Systems (JAIS), 10/2014.
Gombolay, M., R. Jensen, J. Stigile, T. Golen, N. Shah, S-H. Son, and J. Shah, "Human-Machine Collaborative Optimization via Apprenticeship Scheduling", Journal of Artificial Intelligence Research (JAIR) (Accepted 02/2018—To Appear), 2018.
Gu, K., "Enabling Supportive Communications in Decentralized Multi-Agent Teams", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2015.
Gutierrez, R. Alejandro, "Learning Task-Oriented Grasp Heuristics from Demonstration", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2016.
H
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.
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.
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.
Horter, T., E. L. Glassman, J. Shah, and S. Booth, "Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions", ACM/IEEE International Conference on Human-Robot Interaction (HRI), Human-Interactive Robot Learning (HIRL) , 2023.
I
Iqbal, T., S. Li, C. Fourie, B. Hayes, and J. A. Shah, "Fast Online Segmentation of Activities from Partial Trajectories", International Conference on Robotics and Automation (ICRA), 05/2019.
Iqbal, T., L. D. Riek, and J. A. Shah, "Toward a Real-time Activity Segmentation Method for Human-Robot Teaming", Robotics: Science and Systems (RSS), Workshop on Towards a framework for Joint Action: What about Theory of Mind?, 06/2018.
J
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.
K
Kelessoglou, M. Theologos, "Simulation and Comparative Evaluation of Flexible Automotive Assembly Layouts", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2016.
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.
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.
Kim, B., "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", Department of Aeronautics and Astronautics, vol. Ph. D., 2015.
Kim, B., K. Patel, A. Rostamizadeh, and J. Shah, "Scalable and interpretable data representation for high-dimensional, complex data", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
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.
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.
Kim, B., L. Bush, and J. A. Shah, "Quantitative Estimation of the Strength of Agreements in Goal-Oriented Meetings", IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 02/2013.

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