S. Iqbal, Xizhe Zang, Xinyu Liu, M. Gulzar, Yanhe Zhu, Jie Zhao
{"title":"Dynamics Study of Compass-Gait Biped Robot through Nonlinear Time-Series Analysis","authors":"S. Iqbal, Xizhe Zang, Xinyu Liu, M. Gulzar, Yanhe Zhu, Jie Zhao","doi":"10.1109/SIMS.2016.10","DOIUrl":null,"url":null,"abstract":"Passive dynamic walking (PDW) provides us better insight for understanding human walking, for developing prosthetic limbs and for designing superior bipedal robots. In this paper, we investigated the dynamics of a simple PDW, 2D compass-gait biped model that loosely look like human legs (without knees), using time-series analysis based on nonlinear dynamics. Previously, this passive biped model has been explored using only bifurcation diagrams and phase-space plots, but we studied it using nonlinear time-series analysis. The experimental results from walking experiments of prototype passive compass-gait biped validated the simulation results. These results can be useful for designing efficient bipedal robots.","PeriodicalId":308996,"journal":{"name":"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Systems Informatics, Modelling and Simulation (SIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIMS.2016.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Passive dynamic walking (PDW) provides us better insight for understanding human walking, for developing prosthetic limbs and for designing superior bipedal robots. In this paper, we investigated the dynamics of a simple PDW, 2D compass-gait biped model that loosely look like human legs (without knees), using time-series analysis based on nonlinear dynamics. Previously, this passive biped model has been explored using only bifurcation diagrams and phase-space plots, but we studied it using nonlinear time-series analysis. The experimental results from walking experiments of prototype passive compass-gait biped validated the simulation results. These results can be useful for designing efficient bipedal robots.