首页|基于A*算法优化AGV/机器人路径规划的研究进展

基于A*算法优化AGV/机器人路径规划的研究进展

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智能仓储、智能工厂等是未来的重要发展方向,自动导引运输车(AGV)/移动机器人在其中发挥着重要作用,而路径规划是其核心技术之一,被广泛研究.A*算法在全局路径规划中具有独特的优势而备受关注,针对其存在的冗余点多、路径不平滑等问题,研究人员对A*算法进行了大量的改进及优化研究.对国内近年来的研究主要从优化A*算法的评价函数、A*算法与其他算法融合两个方面进行梳理、归纳,基于当前的研究进展和趋势,为后期的研究方向提出一些建议.
Research Progress in Optimizing Automated Guided Vehicle/Robot Path Planning Based on A* Algorithm
Intelligent warehousing and intelligent factory are important development directions in the future,in which automated guided transport vehicles(AGVs)/mobile robots play an important role.Path planning is one of the core technologies for AGV/mo-bile robots,which has been widely studied.A* algorithm has attracted much attention because of its unique advantages in global path planning.In view of its problems such as redundant points and unsmooth path,researchers have made a lot of improvements and optimization researches on A* algorithm.This paper mainly summarizes the research progress in recent years mainly from two aspects of optimizing the evaluation function of A* algorithm and the fusion of A* algorithm with other algorithms.Based on the current research progress and trend,some suggestions are put forward for the future research.

intelligent storageautomatic guided transport vehiclehandling robotpath planningA* algorithm optimization

李艳珍、詹浩、钟鸣长

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黎明职业大学商学院 福建泉州 362007

澳门城市大学商学院 澳门 999078

广州铁路职业技术学院运输物流学院 广东广州 510430

智能仓储 自动导引运输车 搬运机器人 路径规划 A*算法优化

2023年泉州市社会科学规划项目2021年福建省科协科技创新智库课题

2023H13FJKX-A2122

2024

常州信息职业技术学院学报
常州信息职业技术学院

常州信息职业技术学院学报

影响因子:0.523
ISSN:1672-2434
年,卷(期):2024.23(1)
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