{"title":"撤回:基于强化学习的移动机器人连续行动空间路径规划方法","authors":"Journal of Robotics","doi":"10.1155/2024/9819037","DOIUrl":null,"url":null,"abstract":"<jats:p />","PeriodicalId":51834,"journal":{"name":"Journal of Robotics","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retracted: Reinforcement Learning-Based Continuous Action Space Path Planning Method for Mobile Robots\",\"authors\":\"Journal of Robotics\",\"doi\":\"10.1155/2024/9819037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<jats:p />\",\"PeriodicalId\":51834,\"journal\":{\"name\":\"Journal of Robotics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2024/9819037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2024/9819037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
期刊介绍:
Journal of Robotics publishes papers on all aspects automated mechanical devices, from their design and fabrication, to their testing and practical implementation. The journal welcomes submissions from the associated fields of materials science, electrical and computer engineering, and machine learning and artificial intelligence, that contribute towards advances in the technology and understanding of robotic systems.