{"title":"自主机器人监控的分层决策理论规划","authors":"N. Massios, F. Voorbraak","doi":"10.1109/EURBOT.1999.827643","DOIUrl":null,"url":null,"abstract":"Surveillance as a first step towards automating the planning of the movement of an autonomous surveillance robot. We extend a previous proposal (N. Massios and F. Voorbraak, 1998), by including some heuristics based on an abstract representation of the environment. We show, using a concrete example, how these heuristics allow computationally feasible, finite look-ahead versions of the decision-theoretic strategy to escape local minima, and to better approximate globally optimal solutions.","PeriodicalId":364500,"journal":{"name":"1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Hierarchical decision-theoretic planning for autonomous robotic surveillance\",\"authors\":\"N. Massios, F. Voorbraak\",\"doi\":\"10.1109/EURBOT.1999.827643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surveillance as a first step towards automating the planning of the movement of an autonomous surveillance robot. We extend a previous proposal (N. Massios and F. Voorbraak, 1998), by including some heuristics based on an abstract representation of the environment. We show, using a concrete example, how these heuristics allow computationally feasible, finite look-ahead versions of the decision-theoretic strategy to escape local minima, and to better approximate globally optimal solutions.\",\"PeriodicalId\":364500,\"journal\":{\"name\":\"1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURBOT.1999.827643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURBOT.1999.827643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hierarchical decision-theoretic planning for autonomous robotic surveillance
Surveillance as a first step towards automating the planning of the movement of an autonomous surveillance robot. We extend a previous proposal (N. Massios and F. Voorbraak, 1998), by including some heuristics based on an abstract representation of the environment. We show, using a concrete example, how these heuristics allow computationally feasible, finite look-ahead versions of the decision-theoretic strategy to escape local minima, and to better approximate globally optimal solutions.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
