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2002Keyword
Iterative learning controlVision guided robot trajectory tracking
Adaptive control
Visual servoing
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© 2002 IEEE. Reprinted from IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans. 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 Bradford'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.Peer-Reviewed
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This paper presents an iterative learning scheme for vision guided robot trajectory tracking. At first, a stability criterion for designing iterative learning controller is proposed. It can be used for a system with initial resetting error. By using the criterion, one can convert the design problem into finding a positive definite discrete matrix kernel and a more general form of learning control can be obtained. Then, a three-dimensional (3-D) trajectory tracking system with a single static camera to realize robot movement imitation is presented based on this criterion.Version
Published versionCitation
Jiang P and Unbehauen R (2002) Robot visual servoing with iterative learning control. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans. 32(2): 281-287.Link to Version of Record
https://doi.org/10.1109/TSMCA.2002.1021116Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1109/TSMCA.2002.1021116