Biblio

Found 135 results
[ Author(Desc)] 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 
G
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.
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.
Gombolay, M. C., R. J. Wilcox, A. Diaz, F.. Yu, and J. A. Shah, "Towards Successful Coordination of Human and Robotic Work using Automated Scheduling Tools: An Initial Pilot Study", Robotics: Science and Systems (RSS), Workshop on Human-Robot Collaboration, 06/2013.
Gombolay, M. C., R. A. Gutierrez, S. G. Clarke, G. F. Sturla, and J. A. Shah, "Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams", Autonomous Robots, vol. 39, issue 3, pp. 312, 10/2015.
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, 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.
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.
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.

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