Home /Research /Extended Kalman filtering for robotic proximity sensing
OTHER

Extended Kalman filtering for robotic proximity sensing

Youfu Li, R.W. Daniel, Paul Sharkey

Year
2002
Citations
7

Abstract

The 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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Kalman filterExtended Kalman filterComputer sciencePosition (finance)Computer visionArtificial intelligenceRobotTask (project management)Robot end effectorFast Kalman filter

Related papers

Browse all OTHER papers