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| Robot Workcell Layout Optimization Based on Genetic Algorithm |
| XIANG Bin-bin1，CHEN Wei-dong1，QI Li-wei2，ZHANG Dan-dan2 |
（1. School of Electronic, Information and Electrical Engineering,
Shanghai Jiaotong University, Shanghai 200240, China；
2. Robotics Department, ABB Corporate Research China, Shanghai 200131, China） |
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Abstract This paper proposed a robot workcell layout optimization method based on genetic algorithm. This method applies engineer’s experience and knowledge in robotic manufacturing system to the description of geometric and kinematic restrictions, thus reduces search space, improves the computational efficiency and makes the layout meet the industrial requirements better. The method has been embedded in commercial robot programming and simulating software, and used successfully in layout design. A diecast application case validates the effectiveness of the method.
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Received: 16 November 2007
Published: 28 October 2008
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Corresponding Authors:
CHEN Wei-dong
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