• DocumentCode
    2334060
  • Title

    Distributed kinematic inversion technique for modular robotic systems

  • Author

    Casalino, G. ; Turetta, A. ; Sorbara, A.

  • Author_Institution
    Univ. of Genova, Genoa
  • fYear
    2007
  • fDate
    Oct. 29 2007-Nov. 2 2007
  • Firstpage
    2368
  • Lastpage
    2374
  • Abstract
    The present work considers modular robotic structures equipped with an embedded control architecture and proposes a distributed kinematic inversion technique enabling the execution of manipulation operations. The presented strategy is not based on role assignments; all the modules are identical from the control point of view and can be therefore added, removed or exchanged on wish, with no impact on the overall control architecture. In addition every module has just to a-priori know a very limited set of local information while can be totally unaware about the characteristics of the remaining part of the chain. All the information needed for coordination are indeed on-line obtained through communication with other modules. No external centralized controller knowing the overall robot geometry and kinematics is necessary. More simply a global self-coordinating behaviour is autonomously established and propagated along the chain through data-exchanges.
  • Keywords
    decentralised control; distributed control; inverse problems; manipulator kinematics; self-adjusting systems; data exchange; distributed kinematic inversion technique; embedded control architecture; manipulation operation; modular robotic systems; robot geometry; robot kinematics; role assignment; self-coordinating behaviour; Centralized control; Communication system control; Computational geometry; Control systems; Dynamic programming; Intelligent robots; Notice of Violation; Robot kinematics; Sampling methods; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-0912-9
  • Electronic_ISBN
    978-1-4244-0912-9
  • Type

    conf

  • DOI
    10.1109/IROS.2007.4399037
  • Filename
    4399037