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Hybrid vision-based robot control robust to large calibration errors on both intrinsic and extrinsic camera parameters

Ezio Malis

发表年份
2001
引用次数
10

摘要

This paper concerns the control of a camera, mounted on the end-effector of a robot manipulator, using a hybrid visual servoing scheme. Hybrid vision-based control consists in using information available directly at the image level jointly with the information reconstructed from two views of a rigid object (i.e. the displacement of the camera). The aim of this paper is to design a simple control law and to provide sufficient conditions for its global asymptotic stability. The control law is proved to be robust to a large amount of calibration errors. Contrarily to previous work, we suppose that calibration errors concern both intrinsic and extrinsic camera parameters.

关键词

Visual servoingComputer visionArtificial intelligenceComputer scienceCalibrationRobotCamera resectioningDisplacement (psychology)Object (grammar)Control theory (sociology)

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