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A study on visual feedback control of SCARA robot arm

Hyun-Suk Sim, Young-Mok Koo, Soon-Hyun Jeong, Dae-Kun Ahn, Bo-Nam Cha, Sung-Hyun Han

Year
2015
Citations
6

Abstract

This paper presents how it is effective to use many features for improving the accuracy of the visual servoing control for SCARA robot. Some rank conditions, which relate the image Jacobian, and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. Effectiveness of the redundant features is verified by the real time experiments on a Dual-Arm Robot manipulator system.

Keywords

SCARAVisual servoingComputer scienceRobotArm solutionRobotic armJacobian matrix and determinantArtificial intelligenceComputer visionVisual control

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