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面向非结构化环境的移动机器人路径规划

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针对移动机器人在非结构化环境中路径规划转折点较多、运动效率低与实时避障问题,提出基于改进A∗算法融合动态窗口法(DWA)的移动机器人路径规划算法.首先,优化A∗算法启发函数,针对估计代价值引入动态权重系数w(n),提高路径规划算法搜索效率;然后,基于梯度下降算法与SG滤波算法对全局路径进行平滑处理;最后,在全局路径规划的基础上引入DWA算法,提高移动机器人的全局路径规划能力和实时避障能力.实验结果表明,融合算法在提高路径规划搜索效率、平滑路径曲线、动态实时避障等方面具更优的效果.
Research on Path Planning of Mobile Robot for Unstructured Environment of Facility Agriculture
Aiming at the problems of path planning for mobile robots in unstructured environment,such as many turning points,low movement efficiency and real-time obstacle avoidance,A path planning algorithm for mobile robots was proposed based on improved A∗algorithm and dynamic window method(DWA).Firstly,the heuristic function of A∗algorithm is optimized,and the dynamic weight coefficient w(n)is in-troduced for the estimated generation value to improve the search efficiency of the path planning algorithm.Then,the global path is smoothed based on gradient descent algorithm and SG filtering algorithm.Finally,on the basis of global path planning,DWA algorithm is introduced to improve the global path planning abil-ity and real-time obstacle avoidance ability of mobile robots.The experimental results show that the fusion algorithm has better results in improving the search efficiency of path planning,smoothing the path curve,dynamic real-time obstacle avoidance and so on.

unstructured environmentmobile robotfusion algorithmpath planningdynamic obstacle a-voidance

朱伟龙、徐晓辉、宋涛、李锡哲、汪曙

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河北工业大学电子信息工程学院,天津 300401

非结构化环境 移动机器人 融合算法 路径规划 动态避障

河北省重点研发计划项目

20327201D

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(4)
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