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Reducing Localization Error of Vision-Guided Industrial Robots

Marek Franaszek, Geraldine S. Cheok, Jeremy A. Marvel

发表年份
2019
引用次数
2

摘要

In many manufacturing applications, such as automated drilling or inspection of large parts, accurate knowledge of both position and orientation of the robot end-effector is critical. In this paper, a method for reducing robot end-effector position and orientation error is presented. Experimental results show that the method can reduce the median position error by 97% (to 0.3 mm) and the median orientation error by 57% (to 0.27 deg). Limitations of the method caused by the hand-eye calibration are discussed.

关键词

Computer visionRobotComputer scienceArtificial intelligenceMachine visionRobot visionMobile robot

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