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Proceedings Paper

An assembly system based on industrial robot with binocular stereo vision
Author(s): Hong Tang; Nanfeng Xiao
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Paper Abstract

This paper proposes an electronic part and component assembly system based on an industrial robot with binocular stereo vision. Firstly, binocular stereo vision with a visual attention mechanism model is used to get quickly the image regions which contain the electronic parts and components. Secondly, a deep neural network is adopted to recognize the features of the electronic parts and components. Thirdly, in order to control the end-effector of the industrial robot to grasp the electronic parts and components, a genetic algorithm (GA) is proposed to compute the transition matrix and the inverse kinematics of the industrial robot (end-effector), which plays a key role in bridging the binocular stereo vision and the industrial robot. Finally, the proposed assembly system is tested in LED component assembly experiments, and the results denote that it has high efficiency and good applicability.

Paper Details

Date Published: 23 January 2017
PDF: 8 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032247 (23 January 2017); doi: 10.1117/12.2265855
Show Author Affiliations
Hong Tang, South China Univ. of Technology (China)
Nanfeng Xiao, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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