{"title":"协调自治任务的行为、目标和二元状态","authors":"Danny G. Riley, E. Frew","doi":"10.1109/IROS47612.2022.9981135","DOIUrl":null,"url":null,"abstract":"We present our framework Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks (BOBCAT), a multi-agent decision making and task management system for autonomous robots. BOBCAT builds on behavior-based systems and the Belief-Desire-Intention model for decision-making, by using mission objectives as the basis for selecting tasks, or behaviors. We describe how BOBCAT is formulated and present the results of a real-world implementation in the context of exploring austere underground environments in the DARPA Subterranean Challenge.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"BOBCAT: Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks\",\"authors\":\"Danny G. Riley, E. Frew\",\"doi\":\"10.1109/IROS47612.2022.9981135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present our framework Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks (BOBCAT), a multi-agent decision making and task management system for autonomous robots. BOBCAT builds on behavior-based systems and the Belief-Desire-Intention model for decision-making, by using mission objectives as the basis for selecting tasks, or behaviors. We describe how BOBCAT is formulated and present the results of a real-world implementation in the context of exploring austere underground environments in the DARPA Subterranean Challenge.\",\"PeriodicalId\":431373,\"journal\":{\"name\":\"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS47612.2022.9981135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS47612.2022.9981135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BOBCAT: Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks
We present our framework Behaviors, Objectives and Binary states for Coordinated Autonomous Tasks (BOBCAT), a multi-agent decision making and task management system for autonomous robots. BOBCAT builds on behavior-based systems and the Belief-Desire-Intention model for decision-making, by using mission objectives as the basis for selecting tasks, or behaviors. We describe how BOBCAT is formulated and present the results of a real-world implementation in the context of exploring austere underground environments in the DARPA Subterranean Challenge.