STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor

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dc.contributor.authorKim, Yeeunko
dc.contributor.authorYu, Byeonghoko
dc.contributor.authorLee, Eungchangko
dc.contributor.authorKim, Joon-Hako
dc.contributor.authorPark, Hae-wonko
dc.contributor.authorMyung, Hyunko
dc.date.accessioned2022-04-13T06:48:59Z-
dc.date.available2022-04-13T06:48:59Z-
dc.date.created2022-03-08-
dc.date.created2022-03-08-
dc.date.created2022-03-08-
dc.date.created2022-03-08-
dc.date.issued2022-04-
dc.identifier.citationIEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.2, pp.4456 - 4463-
dc.identifier.issn2377-3766-
dc.identifier.urihttp://hdl.handle.net/10203/292568-
dc.description.abstractWe propose a novel state estimator for legged robots, STEP, achieved through a novel preintegrated foot velocity factor. In the preintegrated foot velocity factor, the usual non-slip assumption is not adopted. Instead, the end effector velocity becomes observable by exploiting the body speed obtained from a stereo camera. In other words, the preintegrated end effector's pose can be estimated. Another advantage of our approach is that it eliminates the necessity for a contact detection step, unlike the typical approaches. The proposed method has also been validated in harsh-environment simulations and real-world experiments containing uneven or slippery terrains.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleSTEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor-
dc.typeArticle-
dc.identifier.wosid000761228500028-
dc.identifier.scopusid2-s2.0-85124815296-
dc.type.rimsART-
dc.citation.volume7-
dc.citation.issue2-
dc.citation.beginningpage4456-
dc.citation.endingpage4463-
dc.citation.publicationnameIEEE ROBOTICS AND AUTOMATION LETTERS-
dc.identifier.doi10.1109/LRA.2022.3150844-
dc.contributor.localauthorPark, Hae-won-
dc.contributor.localauthorMyung, Hyun-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorRobot sensing systemsLegged locomotionRobotsFootKinematicsCamerasAlgebraLegged robotslocalizationvisual-inertial SLAM-
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