• DocumentCode
    3507108
  • Title

    Real-time imitation human upper-body movement with joint and self-collision constraints

  • Author

    Chen Yihong ; Chen Qijun

  • Author_Institution
    Sch. of Electron. & Inf., Tongji Univ., Shanghai, China
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Imitation or programming by demonstration from humans is a kind of effective method for robots to learn human´s behaviors. This paper proposes a task-prior algorithm to solve the physical kinematic constraints of a full-body humanoid robot on real-time imitation. Redundant kinematic system is built to track the trajectory of the wrist position as a primary task. In the meanwhile, joint velocity limits and self-collision avoidance are introduced into the null space as additional tasks. Experiments on both simulation and a full-body humanoid are designed to verify the validity of the final policy.With the proposed method, the full-body humanoid robot succeeds in imitating humans´ movement with Kinect sensor and comparison between with and without considering the constraints are making to show the necessaries of this algorithm.
  • Keywords
    collision avoidance; humanoid robots; image sensors; learning (artificial intelligence); robot kinematics; trajectory control; Kinect sensor; full-body humanoid robot; human movement; human upper-body movement; joint collision constraints; joint velocity limits; null space; physical kinematic constraints; programming-by-demonstration; realtime imitation; redundant kinematic system; robot learning; self-collision avoidance; self-collision constraints; task-prior algorithm; wrist position trajectory; Collision avoidance; Humanoid robots; Joints; Kinematics; Robot kinematics; Trajectory; Imitation Joint limit Self-collision Task-prior Null space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics (RAM), 2013 6th IEEE Conference on
  • Conference_Location
    Manila
  • ISSN
    2158-2181
  • Print_ISBN
    978-1-4799-1198-1
  • Type

    conf

  • DOI
    10.1109/RAM.2013.6758550
  • Filename
    6758550