Path planning of food sorting robots based on improved gold rush optimizer
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1.Jiangnan University, Wuxi, Jiangsu 214122, China;2.Wuxi Academy of Educational Sciences, Wuxi, Jiangsu 214121, China;3.Suzhou University, Suzhou, Jiangsu 215153, China;4.Wuxi Cummins Turbo Technologies Company Limited, Wuxi, Jiangsu 214125, China

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    Abstract:

    Objective To improve the path planning efficiency of multi-station food sorting robots.Methods A two-stage path planning method based on the improved gold rush optimizer (IGRO) was proposed. First, a two-layer planning model was constructed, incorporating the optimal grasping position at a single station and the shortest moving distance among multiple stations, with comprehensive consideration of three objectives: path length, smoothness, and safety. Second, the IGRO was designed by introducing free exploration behavior to enhance global search capability and adopting a cosine-shaped convergence factor to balance the exploration and exploitation efficiency of the algorithm.Results Compared with algorithms such as CRO and the ant colony algorithm, IGRO shortened the total path by 7.3%~39.2%, reduced running time by 26.7%~50.1%, and improved path smoothness by 18.6%.Conclusion The proposed method effectively improves the operational efficiency of food sorting robots and has high engineering application value.

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莫微君,王永光,徐荣礼.基于改进淘金者优化算法的食品分拣机器人路径规划研究[J].食品与机械英文版,2025,41(9):67-74.

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History
  • Received:June 11,2025
  • Revised:September 06,2025
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  • Online: October 28,2025
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