Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (4): 515-524.doi: 10.11959/j.issn.2096-6652.202304

• Papers and Reports • Previous Articles     Next Articles

Research on path planning of material transmission platform based on A* and dynamic window method

Wei TANG(), Xiao TAN, Yu SUN, Jiapeng YAN, Guangrui YAN   

  1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  • Received:2022-07-04 Revised:2022-08-20 Online:2023-12-15 Published:2023-12-15
  • Contact: Wei TANG E-mail:tangweisc@163.com
  • Supported by:
    Jiangsu Key R&D Plan Foundation of China(BE2016009);The Special Experimental Equipment Research Project of Jiangsu University of Science and Technology(210813102001)

Abstract:

Due to the problems of traditional material transfer equipment such as single working mode and inflexible adjustment of transfer path, intelligent material transfer system has gradually become a research hotspot in the field of logistics transmission. A path planning algorithm based on A* and dynamic window method was proposed for the modular material transmission platform, in order to improve its obstacle avoidance ability during the transfer process by flexibly adjusting the material transfer path. In the global path planning, the smoothness and static obstacle avoidance of the transmission path were realized by improving the A* weight function and integrating the Bezier curve and matrix interference theory. And by introducing the dynamic window method and extracting the global path key points as transition points for local path guidance of the transmission target, dynamic obstacle avoidance was realized when the path falling into local optimization was avoided. The research results showed that the path planning algorithm based on A* and dynamic window method could reduce the total global path length by 4.6% and the total path turning angle by 42.3%, while the dynamic obstacles could be effectively avoided in the local planning, which verified the rationality of the path planning algorithm.

Key words: path planning, A* algorithm, dynamic window method, Bezier curve, material transmission

CLC Number: 

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