{"title":"使用动量增益量化平衡能力","authors":"Brandon J. DeHart, D. Kulić","doi":"10.1109/HUMANOIDS.2017.8246928","DOIUrl":null,"url":null,"abstract":"The ability of a legged system to balance depends on both the control strategy used and the system's physical design. To quantify a system's inherent balance capabilities, we define momentum gains for general 2D and 3D models. We provide two methods for calculating these gains, and relate both velocity and momentum gains to the centroidal momentum of a system, a commonly used measure of aggregate system behavior. Finally, we compare velocity and momentum gains as criteria for the design of simple balancing systems using a parameterized optimization framework.","PeriodicalId":143992,"journal":{"name":"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Quantifying balance capabilities using momentum gain\",\"authors\":\"Brandon J. DeHart, D. Kulić\",\"doi\":\"10.1109/HUMANOIDS.2017.8246928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability of a legged system to balance depends on both the control strategy used and the system's physical design. To quantify a system's inherent balance capabilities, we define momentum gains for general 2D and 3D models. We provide two methods for calculating these gains, and relate both velocity and momentum gains to the centroidal momentum of a system, a commonly used measure of aggregate system behavior. Finally, we compare velocity and momentum gains as criteria for the design of simple balancing systems using a parameterized optimization framework.\",\"PeriodicalId\":143992,\"journal\":{\"name\":\"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HUMANOIDS.2017.8246928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HUMANOIDS.2017.8246928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantifying balance capabilities using momentum gain
The ability of a legged system to balance depends on both the control strategy used and the system's physical design. To quantify a system's inherent balance capabilities, we define momentum gains for general 2D and 3D models. We provide two methods for calculating these gains, and relate both velocity and momentum gains to the centroidal momentum of a system, a commonly used measure of aggregate system behavior. Finally, we compare velocity and momentum gains as criteria for the design of simple balancing systems using a parameterized optimization framework.