Extended Kalman filtering for robotic proximity sensingLi, Y.F., Daniel, R.W. and Sharkey, P. (1991) Extended Kalman filtering for robotic proximity sensing. In: Proceedings of the 30th IEEE Conference on Decision and Control, 1991. IEEE, pp. 1041-1042. ISBN 0-7803-0450-0 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/CDC.1991.261481 Abstract/SummaryThe authors address the problems in using a fiber-optic proximity sensor to detect robot end-effector positioning errors in performing a contact task when uncertainties about target position exist. An extended Kalman filter approach is employed to solve the nonlinear filtering problem. Some experimental results are given.
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