• DocumentCode
    2350921
  • Title

    Controlling anthropomorphic kinematics as multi-agent systems

  • Author

    Freund, E. ; Rossmann, J. ; Schlette, C.

  • Author_Institution
    Inst. of Robotics Res., Dortmund, Germany
  • Volume
    4
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    3662
  • Abstract
    Building on existent robotics knowledge to model and simulate anthropomorphic kinematics is an appealing approach, because sound knowledge gained in the fields of multi-robot and multi-agent systems can be applied. This provides-with little additional effort-the "new human" with capabilities ranging from natural arm movement up to the coordinated operation of his arms and the cooperation between multiple anthropomorphic kinematics. The same general hierarchical control structure that has successfully been used to control multi-robot systems for space and industrial application has therefore been enhanced to incorporate the newly required capabilities. The enhancements focus on a new approach to on the one hand consider human extremities as articulated robots which are mechanically connected to make up the body-and on the other hand to provide a control strategy to move the full body correctly under equilibrium conditions. We provide an overall control structure that preserves the capabilities of the single robots and introduces "sensible couplings" to move the body as a whole in a naturally looking way. As described in the paper, this work is currently being applied to several application fields in industry up to the simulation of astronauts\´ work on the International Space Station.
  • Keywords
    hierarchical systems; industrial robots; intelligent control; multi-agent systems; multi-robot systems; robot kinematics; virtual reality; anthropomorphic kinematics control; articulated robots; astronauts simulation; equilibrium conditions; hierarchical control structure; industrial robots; international space station; multi-agent systems; multi-robot systems; natural arm movement; sensible couplings; virtual reality; Aerospace industry; Anthropomorphism; Arm; Control systems; Humans; Multiagent systems; Orbital robotics; Robot kinematics; Robot sensing systems; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1249724
  • Filename
    1249724