Real-time path planning of multi-mobile storage robot based on improved sine-cosine algorithm

Hebin Yang; Zhihong Jiang

doi:10.1117/12.3007144

25 October 2023 Real-time path planning of multi-mobile storage robot based on improved sine-cosine algorithm

Hebin Yang, Zhihong Jiang

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128015L (2023) https://doi.org/10.1117/12.3007144
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

In a multi-mobile storage robot system, real-time path planning in a complex environment becomes the key to high efficiency and intelligence of the system. This paper proposes an improved adaptive sine-cosine algorithm (ASCA) based on the sine-cosine algorithm (SCA). In order to solve the problem of real-time path planning of multiple mobile storage robots in a complex environment with dynamic and static obstacles. The improved ASCA algorithm introduces an adaptive inertial weight factor. At the same time, a constrained variable update method is added. Finally, the evolution strategy in the swarm intelligence algorithm is combined with the differential algorithm. The experimental results show that the improved ASCA algorithm has faster convergence speed, stronger global search ability and better adaptability in complex environments than the SCA algorithm when dealing with the real-time path planning problem of multi-mobile storage robots. Situations that may produce invalid solutions or exceed the search space may occur.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hebin Yang and Zhihong Jiang "Real-time path planning of multi-mobile storage robot based on improved sine-cosine algorithm", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128015L (25 October 2023); https://doi.org/10.1117/12.3007144

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