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Reactive human-robot interaction learning in virtual environments
- Jin, D.;
- Sung, Y.;
- Cho, K.
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SCOPUS
0초록
The study of human-robot interaction (HRI) is of considerable interest today in the field of robot technology. Current methods for HRI require interactive learning, which can be slow, computationally demanding, complex, and also unsafe depending on the nature of the robot To solve these problems, this paper proposes a method of interaction learning in a virtual environment where a virtual robot can learn to interact with a virtual human that is designed to mimic human movements through imitation learning. Then the result of this virtual robot can be applied to the real robot after the interaction learning is completed. ©2014 International Information Institute.
키워드
Bayesian Probability; Human-robot Interaction; Q-Learning
- 제목
- Reactive human-robot interaction learning in virtual environments
- 저자
- Jin, D.; Sung, Y.; Cho, K.
- 발행일
- 2014-03
- 유형
- Article
- 저널명
- Information
- 권
- 17
- 호
- 3
- 페이지
- 965 ~ 970