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
Link To Document :
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