IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 186620-186637
Author(s):  
Hang-Cheng Li ◽  
Kai-Qing Zhou ◽  
Li-Ping Mo ◽  
Azlan Mohd Zain ◽  
Feng Qin


Author(s):  
Lue-Feng Chen ◽  
◽  
Zhen-Tao Liu ◽  
Fang-Yan Dong ◽  
Yoichi Yamazaki ◽  
...  

A behavior adaptation mechanism in humans-robots interaction is proposed to adjust robots’ behavior to communication atmosphere, where fuzzy production rule based friend-Q learning (FPRFQ) is introduced. It aims to shorten the response time of robots and decrease the social distance between humans and robots to realize the smooth communication of robots and humans. Experiments on robots/humans interaction are performed in a virtual communication atmosphere environment. Results show that robots adapt well by saving 44 and 482 learning steps compared to that by friend-Q learning (FQ) and independent learning (IL), respectively; additionally, the distance between human-generated atmosphere and robot-generated atmosphere is 3 times and 10 times shorter than the FQ and the IL, respectively. The proposed behavior adaptation mechanism is also applied to robots’ eye movement in the developing humans-robots interaction system, calledmascot robot system, and basic experimental results are shown in home party scenario with five eye robots and four humans.



Author(s):  
D.S. Yeung ◽  
X.-Z. Wang ◽  
E.C.C. Tsang


1991 ◽  
Vol 44 (3) ◽  
pp. 391-403 ◽  
Author(s):  
Zhang Yue ◽  
Liang Fengchi ◽  
Su Fen ◽  
Bao Shounan ◽  
Peng Yunxiang


1992 ◽  
Vol 58 (551) ◽  
pp. 2268-2275
Author(s):  
Hiroshi MATSUURA ◽  
Toshio YOSHIMURA ◽  
Akiyoshi KAWAHITO


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