{"title":"On-Line Supervisory Control for Surveillance under Partial Observation with scLTL Specifications","authors":"Ami Sakakibara, T. Ushio","doi":"10.1109/ICCPS48487.2020.00028","DOIUrl":null,"url":null,"abstract":"Linear temporal logic (LTL) [1] is a formal language with rich expressibility and provides a formal description of complex task specifications for robots. In a surveillance problem, for example, mobile robots move around the target environment and collect data with attached sensors. In this abstract, we consider a control problem of a mobile robot working for a surveillance mission. We apply supervisory control to enforce the high-level behavior of the robot defined in an abstracted model [2] to satisfy a given syntactically cosafe LTL (scLTL) specification [3] . We extend the method proposed in [4] to the case under partial observation.","PeriodicalId":158690,"journal":{"name":"2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPS48487.2020.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Linear temporal logic (LTL) [1] is a formal language with rich expressibility and provides a formal description of complex task specifications for robots. In a surveillance problem, for example, mobile robots move around the target environment and collect data with attached sensors. In this abstract, we consider a control problem of a mobile robot working for a surveillance mission. We apply supervisory control to enforce the high-level behavior of the robot defined in an abstracted model [2] to satisfy a given syntactically cosafe LTL (scLTL) specification [3] . We extend the method proposed in [4] to the case under partial observation.