Optics and Precision Engineering, Volume. 31, Issue 5, 776(2023)

Research progress of off-road path optimization algorithm for equipment

Ningdong CHANG1... Pengda CHENG1, Chun FENG1,2,*, Lixiang WANG1, and Yuqiong LI12,* |Show fewer author(s)
Author Affiliations
  • 1Institute of Mechanics, Chinese Academy of Sciences, Beijing0090, China
  • 2School of Engineering Science, University of Chinese Academy of Sciences, Beijing100049, China
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    With the continuous development of military intelligence, equipment path optimization in off-road environments has become one of the most important research fields in recent years and plays an important role in promoting the development of military forces. It also promotes military intelligence and improves agricultural production efficiency. However, due to the complexity and uncertainty of an off-road environment, an optimization algorithm based on the existing road cannot be directly applied to path optimization. Therefore, based on the research status of equipment path optimization technology in off-road environments at home and abroad, this study summarizes the two research aspects of environment modeling and path optimization methods. First, the off-road path optimization algorithm was divided into single-equipment path optimization and multi-equipment path optimization. Then, the applicable scope and the advantages and disadvantages of each method were expounded. Aiming at the dynamics problem in the field environment, the equipment path optimization algorithm under the dynamics constraint was emphasized. Finally, this study outlines the future development direction of the off-road path optimization algorithm.

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    Ningdong CHANG, Pengda CHENG, Chun FENG, Lixiang WANG, Yuqiong LI. Research progress of off-road path optimization algorithm for equipment[J]. Optics and Precision Engineering, 2023, 31(5): 776

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    Paper Information

    Category: Path planning

    Received: Jul. 22, 2022

    Accepted: --

    Published Online: Apr. 4, 2023

    The Author Email: FENG Chun (fengchun@imech.ac.cn), LI Yuqiong (liyuqiong@imech.ac.cn)

    DOI:10.37188/OPE.20233105.0776

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