• DocumentCode
    3695030
  • 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
  • fYear
    2015
  • Firstpage
    752
  • Lastpage
    757
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication (RO-MAN), 2015 24th IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ROMAN.2015.7333695
  • Filename
    7333695