{"title":"自主移动机器人高效感知系统和路径规划算法的开发","authors":"Sherif M. A. Matta, N. Chalhoub","doi":"10.1109/AIPR.2013.6749329","DOIUrl":null,"url":null,"abstract":"The current work deals with the development of enabling technologies for autonomous mobile robots. A perception system, based on a laser range finder sensor, has been developed to enable robots to construct 3-D maps of their surroundings from which projected free configuration space maps are generated. These maps are then used by a computationally efficient path planning algorithm to yield the shortest possible route between the current and the user-defined final position of the robot.","PeriodicalId":435620,"journal":{"name":"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of an efficient perception system and a path planning algorithm for autonomous mobile robots\",\"authors\":\"Sherif M. A. Matta, N. Chalhoub\",\"doi\":\"10.1109/AIPR.2013.6749329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current work deals with the development of enabling technologies for autonomous mobile robots. A perception system, based on a laser range finder sensor, has been developed to enable robots to construct 3-D maps of their surroundings from which projected free configuration space maps are generated. These maps are then used by a computationally efficient path planning algorithm to yield the shortest possible route between the current and the user-defined final position of the robot.\",\"PeriodicalId\":435620,\"journal\":{\"name\":\"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2013.6749329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2013.6749329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of an efficient perception system and a path planning algorithm for autonomous mobile robots
The current work deals with the development of enabling technologies for autonomous mobile robots. A perception system, based on a laser range finder sensor, has been developed to enable robots to construct 3-D maps of their surroundings from which projected free configuration space maps are generated. These maps are then used by a computationally efficient path planning algorithm to yield the shortest possible route between the current and the user-defined final position of the robot.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
