Johannes Englsberger, George Mesesan, C. Ott, A. Albu-Schäffer
{"title":"DCM-Based Gait Generation for Walking on Moving Support Surfaces","authors":"Johannes Englsberger, George Mesesan, C. Ott, A. Albu-Schäffer","doi":"10.1109/HUMANOIDS.2018.8625006","DOIUrl":null,"url":null,"abstract":"This paper presents a novel walking gait generator that allows the successful traversal of moving support surfaces such as conveyor belts, moving plates and escalators. The gait generator previews all steps of a complete gait sequence, while providing efficient matrix-vector based computations. The moving support surfaces are explicitly taken into account for the trajectory design. Multiple successful simulations of walking on different non-stationary ground surfaces prove the high quality of the proposed walking gait generator.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HUMANOIDS.2018.8625006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper presents a novel walking gait generator that allows the successful traversal of moving support surfaces such as conveyor belts, moving plates and escalators. The gait generator previews all steps of a complete gait sequence, while providing efficient matrix-vector based computations. The moving support surfaces are explicitly taken into account for the trajectory design. Multiple successful simulations of walking on different non-stationary ground surfaces prove the high quality of the proposed walking gait generator.