Title
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation
Abstract
Applying Deep Reinforcement Learning (DRL) to Human-Robot Cooperation (HRC) in dynamic control problems is promising yet challenging as the robot needs to learn the dynamics of the controlled system and dynamics of the human partner. In existing research, the robot powered by DRL adopts coupled observation of the environment and the human partner to learn both dynamics simultaneously. However, suc...
Year
DOI
Venue
2021
10.1109/SMC52423.2021.9659041
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Keywords
DocType
ISBN
Performance evaluation,Conferences,Reinforcement learning,Control systems,Resource management,Task analysis,Robots
Conference
978-1-6654-4207-7
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Lingfeng Tao101.01
Michael Bowman2816.85
Jiucai Zhang311.03
xiaoli zhang4348.28