Tim Meywerk, Marcel Walter, V. Herdt, Daniel Große, R. Drechsler
{"title":"面向认知功能自主机器人代理计划的形式化验证","authors":"Tim Meywerk, Marcel Walter, V. Herdt, Daniel Große, R. Drechsler","doi":"10.1109/DSD.2019.00029","DOIUrl":null,"url":null,"abstract":"In this paper, we propose the first approach for verifying plans of cognition-enabled autonomous robots that perform everyday manipulation activities in human environments. Our methodology is based on the new Intermediate Plan Verification Language (IPVL) which is used to represent plans, environments, and robot belief states in one joint formal model. We devise a symbolic execution engine for IPVL and show the effectiveness of our overall verification methodology in a case study.","PeriodicalId":217233,"journal":{"name":"2019 22nd Euromicro Conference on Digital System Design (DSD)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Towards Formal Verification of Plans for Cognition-Enabled Autonomous Robotic Agents\",\"authors\":\"Tim Meywerk, Marcel Walter, V. Herdt, Daniel Große, R. Drechsler\",\"doi\":\"10.1109/DSD.2019.00029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose the first approach for verifying plans of cognition-enabled autonomous robots that perform everyday manipulation activities in human environments. Our methodology is based on the new Intermediate Plan Verification Language (IPVL) which is used to represent plans, environments, and robot belief states in one joint formal model. We devise a symbolic execution engine for IPVL and show the effectiveness of our overall verification methodology in a case study.\",\"PeriodicalId\":217233,\"journal\":{\"name\":\"2019 22nd Euromicro Conference on Digital System Design (DSD)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 22nd Euromicro Conference on Digital System Design (DSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSD.2019.00029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd Euromicro Conference on Digital System Design (DSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSD.2019.00029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Formal Verification of Plans for Cognition-Enabled Autonomous Robotic Agents
In this paper, we propose the first approach for verifying plans of cognition-enabled autonomous robots that perform everyday manipulation activities in human environments. Our methodology is based on the new Intermediate Plan Verification Language (IPVL) which is used to represent plans, environments, and robot belief states in one joint formal model. We devise a symbolic execution engine for IPVL and show the effectiveness of our overall verification methodology in a case study.