Understanding Dynamic Human Intentions to Enhance Collaboration Performance for Human-Robot Partnerships
Author:
Affiliation:
1. Tufts University,Department of Mechanical Engineering,Medford,USA
2. School of Computing, Montclair State University,Montclair,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10534894/10534885/10535035.pdf?arnumber=10535035
Reference19 articles.
1. Overview of Human-Robot Collaboration in Manufacturing
2. A System-Dynamic Model for Human–Robot Interaction; Solving the Puzzle of Complex Interactions
3. Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm
4. Facilitating Human–Robot Collaborative Tasks by Teaching-Learning-Collaboration From Human Demonstrations
5. Methodology for the definition of the optimal assembly cycle and calculation of the optimized assembly cycle time in human-robot collaborative assembly
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