{"title":"Research and analysis of robot path planning based on target detection","authors":"H. Hu","doi":"10.1117/12.2670397","DOIUrl":null,"url":null,"abstract":"Because intelligent mobile robot contains rich market value, and is widely used in various fields, so the modern society of mobile robot technology requirements are very high, and gradually become the main topic of research and exploration of scholars. In this paper, based on the understanding of the development status of mobile robot path planning, combined with lidar as the core of dynamic target detection method, a path planning algorithm based on nonlinear programming is proposed. The final experimental results show that this planning scheme can quickly find the optimal or approximate optimal planning path in dynamic or static environment, so as to complete the task of tracking and hedging.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mathematics, Modeling and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2670397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Because intelligent mobile robot contains rich market value, and is widely used in various fields, so the modern society of mobile robot technology requirements are very high, and gradually become the main topic of research and exploration of scholars. In this paper, based on the understanding of the development status of mobile robot path planning, combined with lidar as the core of dynamic target detection method, a path planning algorithm based on nonlinear programming is proposed. The final experimental results show that this planning scheme can quickly find the optimal or approximate optimal planning path in dynamic or static environment, so as to complete the task of tracking and hedging.