Biblio

Found 10 results
Author Title Type [ Year(Desc)]
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2014
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.
Unhelkar, V. V., J. Perez, J. C. Boerkoel, J. Bix, S. Bartscher, and J. A. Shah, "Towards Control and Sensing for an autonomous Mobile Robotic Assistant navigating Assembly Lines", IEEE International Conference on Robotics and Automation (ICRA), 06/2014.
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.
2016
Lasota, P. A., and J. A. Shah, "Toward Robust and Generalizable Prediction of Human Motion via Predictor Ensembles", IEEE International Conference on Robotics and Automation (ICRA), Workshop on Human-Robot Interfaces for Enhanced Physical Interactions, 05/2016.
Shah, A. J., and J. A. Shah, "Towards Manipulation Planning for Multiple Interlinked Deformable Linear Objects", IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, IEEE, 05/2016.
2017
Sturla, G., "A Two-Phased Approach for Natural Language Parsing into Formal Logic", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2017.
2018
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.
Shah, A., and J. Shah, "Towards Specification Learning from Demonstrations", Robotics: Science and Systems (RSS), Workshop on Learning from Demonstrations for High Level Robotics Tasks, 06/2018.
2022
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.