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基于人工势场法的移动机器人路径规划研究现状与展望
引用本文:石志刚,梅松,邵毅帆,万如,宋志禹,谢铭露,李燕. 基于人工势场法的移动机器人路径规划研究现状与展望[J]. 中国农机化学报, 2021, 42(12): 182-188. DOI: 10.13733/j.jcam.issn.20955553.2021.12.27
作者姓名:石志刚  梅松  邵毅帆  万如  宋志禹  谢铭露  李燕
作者单位:1. 宁夏农林科学院枸杞工程技术研究所,银川市,750002; 2. 农业农村部南京农业机械化研究所,南京市,210014;
3. 南京理工大学机械工程学院,南京市,210094; 4. 泰兴市知识产权服务中心,江苏泰兴,225400
基金项目:宁夏回族自治区科技支撑专项(2021BEF02001);江苏省科技项目现代农业(BE2018375);中国农业科学院基本科研业务费(S202103—02);果蔬茶类收获创新团队
摘    要:路径规划是移动机器人领域的热点研究方向,人工势场法已在工业机器人路径规划中得到广泛应用,近年来正逐步应用于农业工程的路径规划问题中.首先对路径规划中人工势场法的原理及传统人工势场法存在的缺陷进行分析,针对人工势场法中的局部极小值和目标不可达问题的多重改进方法进行原理分析和方法总结,并根据人工势场法在工业机器人中的应用对...

关 键 词:人工势场法  农业机器人  路径规划  局部极小值  算法融合  智能农机

Research status and prospect of path planning for mobile robots based on artificial potential field method
Abstract:Path planning is a promising research direction in mobile robots. The artificial potential field method has been widely used for the path planning of mobile robots. In this paper, the principle of the artificial potential field method and the defects of the traditional artificial potential field method are analyzed. The local minimum and target unreachable problems in artificial potential field method are analyzed from the improved method, the summaries are concluded, and the existing algorithm fusion methods are classified and reviewed. Finally, the real time operation and multi obstacle adaptability of robot path planning in agriculture are documented by comparing various improved methods. To meet the needs of robot path planning in modern agricultural production, the current algorithm fusion research can be combined with the actual situation of agricultural production to carry out in depth research on the selection mechanism of fusion algorithm in different agricultural production applications.
Keywords:artificial potential field method  agricultural robot  path planning  local minimum  algorithm fusion  intelligent agricultural machinery  
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