Biblio

Found 135 results
[ Author(Asc)] 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 
R
Ramakrishnan, R., "Perturbation Training for Human-Robot Teams", Department of Electrical Engineering and Computer Science, vol. S.M., 2015.
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.
Ramakrishnan, R., E. Kamar, D. Dey, J. Shah, and E. Horvitz, "Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
P
Pérez-D'Arpino, C., and J. A. Shah, "C-LEARN: Learning Geometric Constraints from Demonstrations for Multi-Step Manipulation in Shared Autonomy", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.
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.
Perez, J., "Designing Interaction for Human-Machine Collaboration in Multi-Agent Scheduling", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2015.
N
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.
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.
Nikolaidis, S., P. A. Lasota, Gregory Rossano, Carlos Martinez, Thomas Fuhlbrigge, and J. Shah, "Human-Robot Collaboration in Manufacturing: Quantitative Evaluation of Predictable, Convergent Joint Action", International Symposium on Robotics (ISR) [Best Paper Nomination], 10/2013.
Nikolaidis, S., and J. A. Shah, "Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach", AIAA Infotech@Aerospace (I@A), 06/2012.
Nikolaidis, S., and J. A. Shah, "Human-Robot Teaming using Shared Mental Models", ACM/IEEE International Conference on Human Robot Interaction (HRI), Workshop on Human-Agent-Robot Teamwork, 03/2012.
Nikolaidis, S. Z., "Computational Formulation, Modeling and Evaluation of Human-Robot Team Training Techniques", Department of Aeronautics and Astronautics, vol. S.M., 2014.
Nikolaidis, S., and J. A. Shah, "Human-Robot Cross-Training: Computational Formulation, Modeling and Evaluation of a Human Team Training Strategy", ACM/IEEE International Conference on Human Robot Interaction (HRI) [25% Acceptance Rate], 03/2013.
M
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.
L
Li*, S., D. Park*, Y. Sung*, J. Shah, and N. Roy, "Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.
Li*, S., T. Stouraitis*, M. Gienger, S. Vijayakumar, and J. A. Shah, "Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty", IEEE Robotics and Automation Letters (RA-L), vol. 7, issue 3, 03/2022.
Li, S., and J. A. Shah, "Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction", International Conference on Robotics and Automation (ICRA), 05/2019.
Li, S., N. Figueroa, A. Shah, and J. A. Shah, "Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics", Robotics: Science and Systems (R:SS), 07/2021.
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.
Lasota, P. A., "Developing Safe and Efficient Robotic Assistants for Close-Proximity Human-Robot Collaboration", Department of Aeronautics and Astronautics, vol. S.M., 2014.
Lasota, P. A., and J. A. Shah, "Bayesian Estimator for Partial Trajectory Alignment", Robotics: Science and Systems [31% Acceptance Rate], 06/2019.
Lasota, P. A., T. Fong, and J. A. Shah, "A Survey of Methods for Safe Human-Robot Interaction", Foundations and Trends® in Robotics, vol. 5, issue 4, pp. 261–349, 05/2017.
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.
Lasota, P. A., G. F. Rossano, and J. A. Shah, "Toward Safe Close-Proximity Human-Robot Interaction with Standard Industrial Robots", IEEE International Conference on Automation Science and Engineering (CASE), 08/2014.
Lasota, P. A., and J. A. Shah, "Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human-Robot Collaboration", Human Factors: The Journal of the Human Factors and Ergonomics Society (HFES) [2014 Human Factors Prize Finalist], vol. 57, issue 1, pp. 21-33, 02/2015.

Pages