Empirical validation of a new visual servoing strategy
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The flexibility of computer vision is attractive when designing manipulation systems which must interact with otherwise unsensed objects. However, occlusions introduce significant challenges to the construction of practical vision-based control systems. This paper provides empirical validation of a vision based control strategy that affords guaranteed convergence to a visible goal from essentially any "safe" initial position while maintaining full view of all the feature points along the way. The method applies to first (quasi-static, or "kinematic") and second (Lagrangian or "mechanical") order plants that incorporate an independent actuator for each degree of freedom.
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Copyright 2001 IEEE. Reprinted from Proceedings of the 2001 IEEE International Conference on Control Applications, (CCA 2001), pages 1117-1123. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania.