{"title":"面向自主小型人形机器人:设计问题与控制策略","authors":"Filipe M. T. Silva, Vítor M. F. Santos","doi":"10.1109/CIRA.2005.1554259","DOIUrl":null,"url":null,"abstract":"This paper presents the design considerations of a small-size humanoid robot. The design process has revealed much about the several problems, challenges and tradeoffs imposed by biped locomotion. Among them, we here focus on the control of a single leg and its behaviour when assuming a forward motion. The controller is based on simple motion goals taking into account the reaction forces between the feet and the ground. A new method is proposed which appears to be well adapted to the class of problem considered: the use of a fractional-order controller combined with a genetic algorithm for optimal tuning of the control parameters. The control algorithm is tested through several simulations and its robustness is discussed.","PeriodicalId":162553,"journal":{"name":"2005 International Symposium on Computational Intelligence in Robotics and Automation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Towards an autonomous small-size humanoid robot: design issues and control strategies\",\"authors\":\"Filipe M. T. Silva, Vítor M. F. Santos\",\"doi\":\"10.1109/CIRA.2005.1554259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design considerations of a small-size humanoid robot. The design process has revealed much about the several problems, challenges and tradeoffs imposed by biped locomotion. Among them, we here focus on the control of a single leg and its behaviour when assuming a forward motion. The controller is based on simple motion goals taking into account the reaction forces between the feet and the ground. A new method is proposed which appears to be well adapted to the class of problem considered: the use of a fractional-order controller combined with a genetic algorithm for optimal tuning of the control parameters. The control algorithm is tested through several simulations and its robustness is discussed.\",\"PeriodicalId\":162553,\"journal\":{\"name\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIRA.2005.1554259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Symposium on Computational Intelligence in Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRA.2005.1554259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards an autonomous small-size humanoid robot: design issues and control strategies
This paper presents the design considerations of a small-size humanoid robot. The design process has revealed much about the several problems, challenges and tradeoffs imposed by biped locomotion. Among them, we here focus on the control of a single leg and its behaviour when assuming a forward motion. The controller is based on simple motion goals taking into account the reaction forces between the feet and the ground. A new method is proposed which appears to be well adapted to the class of problem considered: the use of a fractional-order controller combined with a genetic algorithm for optimal tuning of the control parameters. The control algorithm is tested through several simulations and its robustness is discussed.