• DocumentCode
    657145
  • Title

    Measurement of human body stiffness for lifting-up motion generation using nursing-care assistant robot — RIBA

  • Author

    Ming Ding ; Ikeura, Ryojun ; Mori, Yojiro ; Mukai, Toshiharu ; Hosoe, Shigeyuki

  • Author_Institution
    RIKEN-TRI Collaboration Center, RIKEN, Nagoya, Japan
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In our research center, we have developed a nursing-care assistant robot - RIBA. This robot can lift up and transfer patient between bed and wheelchair using two human like arms. In this research, we proposed a new method to generate comfortable lifting-up motion automatically for using this robot. This method can reduce the pain feeling of patient during lift-up by setting robot arms to contact human body on the softest places. In order to measure the stiffness of soft human body, a stiffness sensor was developed, which has a large measurement range. We measured the stiffness on the back of upper body and thighs. From the measured data, we got an average stiffness distribution. In simulation, by controlling robot arm to lift human body up from the estimated softest place and minimizing the load of human body, we obtained a most comfortable robot motion. In experiment, all subjects felt this motion comfortable. The measured subjects´ postures were also very close to the estimated value, which confirmed the effectiveness of stiffness measurement and motion generation method.
  • Keywords
    health care; manipulators; medical robotics; patient care; RIBA; average stiffness distribution; comfortable lifting-up motion; human body stiffness; human like arms; motion generation method; nursing-care assistant robot; pain feeling; soft human body; stiffness measurement; Force; Joints; Manipulators; Mobile robots; Robot sensing systems; Thigh;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2013 IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2013.6688431
  • Filename
    6688431