{"title":"Sensor-based walking of human type biped robot that has 14 degree of freedoms","authors":"Masaaki Kumagai, T. Emura","doi":"10.1109/MMVIP.1997.625302","DOIUrl":null,"url":null,"abstract":"Walking robots are useful for uneven terrain where wheel or crawler is not suitable. The biped robot is a kind of walking robot which can be used in human-live environments. There are many research works on biped robots. Most of them use complex dynamic models of robots or prepared joint angle trajectories. In this paper, we propose a control method for human type biped robot which does not need complex dynamic model of the robot and prepared walking pattern. This control method is a combination of simple actions based on information obtained by many sensors. We show the experimental results which indicate ability of this method, here.","PeriodicalId":261635,"journal":{"name":"Proceedings Fourth Annual Conference on Mechatronics and Machine Vision in Practice","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth Annual Conference on Mechatronics and Machine Vision in Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMVIP.1997.625302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Walking robots are useful for uneven terrain where wheel or crawler is not suitable. The biped robot is a kind of walking robot which can be used in human-live environments. There are many research works on biped robots. Most of them use complex dynamic models of robots or prepared joint angle trajectories. In this paper, we propose a control method for human type biped robot which does not need complex dynamic model of the robot and prepared walking pattern. This control method is a combination of simple actions based on information obtained by many sensors. We show the experimental results which indicate ability of this method, here.