Title :
Imitation learning for daily exercise support with robot partner
Author :
Takenori Obo;Chu Kiong Loo;Naoyuki Kubota
Author_Institution :
Department of Artificial Intelligence, University of Malaya, 50603 Kuala Lumpur Malaysia
Abstract :
In order to keep healthy health of elderly people, daily exercise is an important factor. Therefore, we have developed an exercise support system with robot partner to provide the daily exercise program. Furthermore, Human-like-motion can have a contribution to exert a strong influence on the person through the human-robot interaction, because bodily expressions convey important and effective information. If robots could adapt the features of human behavior to their motions and skills, the communication would become more smooth and natural. In this paper, we propose a learning structure for imitation learning.
Keywords :
"Robot sensing systems","Joints","Genetic algorithms","Three-dimensional displays","Image sensors","Kinematics"
Conference_Titel :
Robot and Human Interactive Communication (RO-MAN), 2015 24th IEEE International Symposium on
DOI :
10.1109/ROMAN.2015.7333695