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A Study on Intelligent Robot Bin-Picking System with CCD Camera and Laser Sensor  

Kim, Jin-Dae ((주)유진엠에스 기술연구소)
Lee, Jeh-Won (영남대학교 기계공학부)
Shin, Chan-Bai (울산과학대학 디지털기계학부)
Publication Information
Abstract
Due to the variety of signal processing and complicated mathematical analysis, it is not easy to accomplish 3D bin-picking with non-contact sensor. To solve this difficulties the reliable signal processing algorithm and a good sensing device has been recommended. In this research, 3D laser scanner and CCD camera is applied as a sensing device respectively. With these sensor we develop a two-step bin-picking method and reliable algorithm for the recognition of 3D bin object. In the proposed bin-picking, the problem is reduced to 2D intial recognition with CCD camera at first, and then 3D pose detection with a laser scanner. To get a good movement in the robot base frame, the hand eye calibration between robot's end effector and sensing device should be also carried out. In this paper, we examine auto-calibration technique in the sensor calibration step. A new thinning algorithm and constrained hough transform is also studied for the robustness in the real environment usage. From the experimental results, we could see the robust bin-picking operation under the non-aligned 3D hole object.
Keywords
Bin-picking; CCD camera; Laser scanner; Two-step method; Auto-calibration; non-aligned 3D hole object;
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Times Cited By KSCI : 1  (Citation Analysis)
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