• DocumentCode
    2483397
  • Title

    Human arm-like robot control using the viscoelasticity of human multi-joint arm

  • Author

    Wang, Aihui ; Deng, Mingcong

  • Author_Institution
    Grad. Sch. of Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    738
  • Lastpage
    743
  • Abstract
    The human arm performs a variety of skillful movements by adjusting dynamic characteristics of musculoskeletal system. Such characteristics of musculoskeletal system can be mainly described as viscoelasticity of human multi-joint arm. Many biomedical applications of robotics require knowledge of the viscoelasticity of human multi-joint arm in order to make motion appear more natural and accurately. Till now, the real time viscoelasticity of human multi-joint arm has not finally been used absolutely in robot control. This paper reviews a robust estimation method of the human multi-joint arm viscoelasticity during natural movement. A human arm-like robot control scheme using the real time measuring viscoelasticity of human multi-joint arm is proposed. An improved forward gaze model is used in order to study how to adjust the human multi-joint arm viscoelasticity by central nervous system according to external environment. The effectiveness of the proposed method is confirmed by the simulation and experimental results.
  • Keywords
    estimation theory; manipulator dynamics; motion control; viscoelasticity; forward gaze model; human arm-like robot control; human multijoint arm viscoelasticity; musculoskeletal system; robot manipulator; robust estimation method; Estimation; Humans; Joints; Manipulators; Real time systems; Trajectory; Human multi-joint arm; central nervous system; forward gaze model; human arm-like robot; viscoelasticity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-8567-3
  • Electronic_ISBN
    978-89-88678-30-5
  • Type

    conf

  • DOI
    10.1109/ICCIT.2010.5711151
  • Filename
    5711151