• DocumentCode
    1743705
  • Title

    Rigid body visual servoing using navigation functions

  • Author

    Cowan, Noah J. ; Lopes, Gabriel A D ; Koditschek, Daniel E.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3920
  • Abstract
    Visual servo controllers in the literature rarely achieve provably large domains of attraction, and seldom address two important sensor limitations: (i) susceptibility to self-occlusions and (ii) finite field of view (FOV). We tackle the problem of global, occlusion-free visual servoing of a fully actuated rigid body by recourse to navigation functions on a compact manifold which encode these restrictions as control obstacles. For occlusion free rigid body servoing, the manifold of interest is the “visible” set of rigid body configurations, that is, those for which the feature points are within the field of view and unoccluded by the body. For a set of coplanar feature points on one face of a convex polyhedron, we show that a slightly conservative subset of the visible set has a simple topology amenable to analytical construction of a navigation function. We construct the controller via a closed form coordinate transformation from our problem domain into the topological model space and conclude with simulation results
  • Keywords
    Jacobian matrices; image registration; image sensors; path planning; robot vision; compact manifold; finite field of view; global occlusion-free visual servoing; navigation functions; occlusion free rigid body servoing; rigid body visual servoing; self-occlusions; topological model space; Calibration; Cameras; Galois fields; Machine vision; Navigation; Robot kinematics; Robot sensing systems; Robot vision systems; Servomechanisms; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912326
  • Filename
    912326