{"title":"接近人类的贝叶斯模型","authors":"E. Torta, R. Cuijpers, J. Juola","doi":"10.1145/1962300.1962384","DOIUrl":null,"url":null,"abstract":"With the growing need for elder care, research is focusing on robotic assistance at home. Thus, robots must navigate in cluttered, domestic, indoor environments with the purpose of interacting with a person. Here we present a behaviour based navigation model enhanced with a low level decision making process that allows the robot to approach a human in such an environment. The model has been tested on simulation and the first results show the effectiveness of the Bayesian decision making process.","PeriodicalId":115733,"journal":{"name":"Proceedings of the 28th Annual European Conference on Cognitive Ergonomics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Bayesian model for approaching a human\",\"authors\":\"E. Torta, R. Cuijpers, J. Juola\",\"doi\":\"10.1145/1962300.1962384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the growing need for elder care, research is focusing on robotic assistance at home. Thus, robots must navigate in cluttered, domestic, indoor environments with the purpose of interacting with a person. Here we present a behaviour based navigation model enhanced with a low level decision making process that allows the robot to approach a human in such an environment. The model has been tested on simulation and the first results show the effectiveness of the Bayesian decision making process.\",\"PeriodicalId\":115733,\"journal\":{\"name\":\"Proceedings of the 28th Annual European Conference on Cognitive Ergonomics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th Annual European Conference on Cognitive Ergonomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1962300.1962384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Annual European Conference on Cognitive Ergonomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1962300.1962384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the growing need for elder care, research is focusing on robotic assistance at home. Thus, robots must navigate in cluttered, domestic, indoor environments with the purpose of interacting with a person. Here we present a behaviour based navigation model enhanced with a low level decision making process that allows the robot to approach a human in such an environment. The model has been tested on simulation and the first results show the effectiveness of the Bayesian decision making process.
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