Title | ||
---|---|---|
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation |
Abstract | ||
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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 Tao | 1 | 0 | 1.01 |
Michael Bowman | 2 | 81 | 6.85 |
Jiucai Zhang | 3 | 1 | 1.03 |
xiaoli zhang | 4 | 34 | 8.28 |