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Visual servoing for low-cost SCARA robots using an RGB-D camera as the only sensor

Petra Đurović, Ratko Grbić, Robert Cupec

Year
2017
Citations
9
Access
Open access

Abstract

Visual servoing with a simple, two-step hand–eye calibration for robot arms in Selective Compliance Assembly Robot Arm configuration, along with the method for simple vision-based grasp planning, is proposed. The proposed approach is designed for low-cost, vision-guided robots, where tool positioning is achieved by visual servoing using marker tracking and depth information provided by an RGB-D camera, without encoders or any other sensors. The calibration is based on identification of the dominant horizontal plane in the camera field of view, and an assumption that all robot axes are perpendicular to the identified plane. Along with the plane parameters, one rotational movement of the shoulder joint provides sufficient information for visual servoing. The grasp planning is based on bounding boxes of simple objects detected in the RGB-D image, which provide sufficient information for robot tool positioning, gripper orientation and opening width. The developed methods are experimentally tested using a real robot arm. The accuracy of the proposed approach is analysed by measuring the positioning accuracy as well as by performing grasping experiments.

Keywords

Visual servoingComputer visionArtificial intelligenceRobotRobot calibrationRGB color modelComputer scienceGRASPCalibrationOrientation (vector space)

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