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Real-Time Robot Joint Variable Extraction from a Laser Scanner

Ali H. Kashani, W.S. Owen, P.D. Lawrence, R. A. Hall

发表年份
2007
引用次数
9

摘要

This paper describes a customized iterative closest point (ICP) algorithm for robot excavator bucket pose estimation and joint angle evaluation using a laser scanner. The proposed ICP variant handles noise, occlusion and partial- overlapping. The method has been tested on a Takeuchi mini-excavator and proved to be reliable with minimal workspace error. The angle estimations were found to be accurate. A comparison has been provided between the angle estimation results and the measurements from joint angle sensors.

关键词

Laser scanningScannerComputer visionNoise (video)Computer scienceRobotJoint (building)Artificial intelligenceIterative closest pointExcavator

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