23 January 2017 An assembly system based on industrial robot with binocular stereo vision
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Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 1032247 (2017) https://doi.org/10.1117/12.2265855
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
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.
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Hong Tang, Nanfeng Xiao, "An assembly system based on industrial robot with binocular stereo vision", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032247 (23 January 2017); doi: 10.1117/12.2265855; https://doi.org/10.1117/12.2265855
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