{"title":"在有移动障碍物的环境中规划运动的框架","authors":"S. Rodríguez, Jyh-Ming Lien, N. Amato","doi":"10.1109/IROS.2007.4399540","DOIUrl":null,"url":null,"abstract":"In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory of the moving objects. Our framework also distinguishes between two types of moving objects in the environment: hard and soft objects. We distinguish between the two types of objects in the environment as varying application domains could allow for some collision between some types of moving objects. For example, a robot planning a path in an environment with people could have the people modeled as circular disks with a safe zone surrounding each person. Although the robot may try to stay out of each safe zone, violating that criteria would not necessarily result in planning failure. We will show the effectiveness of our planner in general dynamic environments with the soft objects having varying behaviors.","PeriodicalId":227148,"journal":{"name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"A framework for planning motion in environments with moving obstacles\",\"authors\":\"S. Rodríguez, Jyh-Ming Lien, N. Amato\",\"doi\":\"10.1109/IROS.2007.4399540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory of the moving objects. Our framework also distinguishes between two types of moving objects in the environment: hard and soft objects. We distinguish between the two types of objects in the environment as varying application domains could allow for some collision between some types of moving objects. For example, a robot planning a path in an environment with people could have the people modeled as circular disks with a safe zone surrounding each person. Although the robot may try to stay out of each safe zone, violating that criteria would not necessarily result in planning failure. We will show the effectiveness of our planner in general dynamic environments with the soft objects having varying behaviors.\",\"PeriodicalId\":227148,\"journal\":{\"name\":\"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.2007.4399540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.2007.4399540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A framework for planning motion in environments with moving obstacles
In this paper we present a heuristic approach to planning in an environment with moving obstacles. Our approach assumes that the robot has no knowledge of the future trajectory of the moving objects. Our framework also distinguishes between two types of moving objects in the environment: hard and soft objects. We distinguish between the two types of objects in the environment as varying application domains could allow for some collision between some types of moving objects. For example, a robot planning a path in an environment with people could have the people modeled as circular disks with a safe zone surrounding each person. Although the robot may try to stay out of each safe zone, violating that criteria would not necessarily result in planning failure. We will show the effectiveness of our planner in general dynamic environments with the soft objects having varying behaviors.