基于人工势场算法的路径规划研究

Xiaoliang Guang, Shijie Guan, Hongwei Song
{"title":"基于人工势场算法的路径规划研究","authors":"Xiaoliang Guang, Shijie Guan, Hongwei Song","doi":"10.1145/3421766.3421786","DOIUrl":null,"url":null,"abstract":"Artificial potential field (APF) algorithm is widely used in path planning research because of its simple structure, good real-time performance and smooth path generated to solve the problem of obstacle avoidance in task space environment. Aiming at the problem of inaccessibility and local minimum of artificial potential field algorithm, a hybrid algorithm of piece wise repulsive potential function and virtual target point obstacle filling is proposed. The results show that improved APF algorithm can solve problems of traditional APF algorithm to a certain extent.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Path Planning Based on Artificial Potential Field Algorithm\",\"authors\":\"Xiaoliang Guang, Shijie Guan, Hongwei Song\",\"doi\":\"10.1145/3421766.3421786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial potential field (APF) algorithm is widely used in path planning research because of its simple structure, good real-time performance and smooth path generated to solve the problem of obstacle avoidance in task space environment. Aiming at the problem of inaccessibility and local minimum of artificial potential field algorithm, a hybrid algorithm of piece wise repulsive potential function and virtual target point obstacle filling is proposed. The results show that improved APF algorithm can solve problems of traditional APF algorithm to a certain extent.\",\"PeriodicalId\":360184,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3421766.3421786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3421766.3421786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

人工势场算法(Artificial potential field, APF)以其结构简单、实时性好、生成的路径平滑等优点,解决了任务空间环境下的避障问题,在路径规划研究中得到了广泛的应用。针对人工势场算法的不可达性和局部最小值问题,提出了一种分段排斥势函数与虚拟目标点障碍物填充的混合算法。结果表明,改进的APF算法在一定程度上解决了传统APF算法存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Path Planning Based on Artificial Potential Field Algorithm
Artificial potential field (APF) algorithm is widely used in path planning research because of its simple structure, good real-time performance and smooth path generated to solve the problem of obstacle avoidance in task space environment. Aiming at the problem of inaccessibility and local minimum of artificial potential field algorithm, a hybrid algorithm of piece wise repulsive potential function and virtual target point obstacle filling is proposed. The results show that improved APF algorithm can solve problems of traditional APF algorithm to a certain extent.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信