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An eye-to-hand visual servoing structure for 3D positioning of a robotic arm using one camera and a flat mirror

Chaiyapol Kulpate, Mehran Mehrandezh, Raman Paranjape

Year
2005
Citations
16

Abstract

This paper introduces a novel visual servoing structure for 3D robot positioning under an eye-to-hand camera configuration. The proposed algorithm is based on image-based visual servoing (IBVS) using only one camera in conjunction with a flat mirror. A landmark mounted on the robot along with its mirror reflection, when viewed by the camera, provides enough information for 3D reasoning based on a 2D image. The governing equations describing the relationship between the robot's velocity and rate of change in image features are fully described. Furthermore, a methodology for on-line estimation of the image Jacobian with no camera calibration is developed. Simulation and experimental results illustrate the robustness of the proposed visual servoing structure.

Keywords

Visual servoingComputer visionArtificial intelligenceRobustness (evolution)Jacobian matrix and determinantComputer scienceRobotCamera resectioningCamera auto-calibrationLandmark

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