Biblio

Found 132 results
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2015
Gombolay, M. C., C. Huang, and J. A. Shah, "Coordination of Human-Robot Teaming with Human Task Preferences", AAAI Fall Symposium Series on AI-HRI, 11/2015.
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.
Perez, J., "Designing Interaction for Human-Machine Collaboration in Multi-Agent Scheduling", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2015.
Nikolaidis, S., R. Ramakrishnan, K. Gu, and J. A. Shah, "Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks", ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Enabling Technology Paper], Portland, Oregon, USA, 03/2015.
Gu, K., "Enabling Supportive Communications in Decentralized Multi-Agent Teams", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2015.
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.
Pérez-D'Arpino, C., and J. Shah, "Fast Target Prediction of Human Reaching Motion for Cooperative Human-Robot Manipulation Tasks Using Time Series Classification", IEEE International Conference on Robotics and Automation (ICRA), 05/2015.
Unhelkar, V. V., C. Pérez-D'Arpino, L. Stirling, and J. A. Shah, "Human-Robot Co-Navigation using Anticipatory Indicators of Human Walking Motion", IEEE International Conference on Robotics and Automation (ICRA), 05/2015.
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.
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, 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., "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", Department of Aeronautics and Astronautics, vol. Ph. D., 2015.
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.
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.
Ramakrishnan, R., "Perturbation Training for Human-Robot Teams", Department of Electrical Engineering and Computer Science, vol. S.M., 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.
Lasota, P. A., and J. A. Shah, "Toward Safe and Efficient HRI in Industrial Settings via Distance-Based Speed Limiting and Motion-Level Adaptation", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Safety for Human-Robot Interaction in Industrial Settings, 10/2015.
2014
Fallon, M., S. Kuindersma, S. Karumanchi, M. Antone, T. Schneider, H. Dai, C. Pérez-D'Arpino, R. Deits, M. Dicicco, D. Fourie, et al., "An Architecture for Online Affordance-based Perception and Whole-body Planning", Journal of Field Robotics (JFR), vol. 32, issue 2, 10/2014.
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., 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.
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.
Nikolaidis, S. Z., "Computational Formulation, Modeling and Evaluation of Human-Robot Team Training Techniques", Department of Aeronautics and Astronautics, vol. S.M., 2014.
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.
Lasota, P. A., "Developing Safe and Efficient Robotic Assistants for Close-Proximity Human-Robot Collaboration", Department of Aeronautics and Astronautics, vol. S.M., 2014.
Zhang, C., and J. A. Shah, "Fairness in Multi-Agent Sequential Decision-Making", Neural Information Processing Systems (NIPS), 12/2014.

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