STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor
Wepropose 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 obtaine...
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Veröffentlicht in: | IEEE robotics and automation letters 2022-04, Vol.7 (2), p.4456-4463 |
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creator | Kim, Yeeun Yu, Byeongho Lee, Eungchang Mason Kim, Joon-ha Park, Hae-won Myung, Hyun |
description | Wepropose 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. |
doi_str_mv | 10.1109/LRA.2022.3150844 |
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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.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2022.3150844</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algebra ; Cameras ; End effectors ; Foot ; Kinematics ; Legged locomotion ; Legged robots ; localization ; Robot sensing systems ; Robots ; Velocity ; visual-inertial SLAM</subject><ispartof>IEEE robotics and automation letters, 2022-04, Vol.7 (2), p.4456-4463</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-23e8b3459c86c31c4926d33b4216209d08d5fd1bea1ca7580c512d9a906e58943</citedby><cites>FETCH-LOGICAL-c291t-23e8b3459c86c31c4926d33b4216209d08d5fd1bea1ca7580c512d9a906e58943</cites><orcidid>0000-0002-9900-2166 ; 0000-0002-5799-2026 ; 0000-0002-5349-0520 ; 0000-0003-0219-784X ; 0000-0001-6130-6589 ; 0000-0003-4928-9696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9712415$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27928,27929,54762</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9712415$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kim, Yeeun</creatorcontrib><creatorcontrib>Yu, Byeongho</creatorcontrib><creatorcontrib>Lee, Eungchang Mason</creatorcontrib><creatorcontrib>Kim, Joon-ha</creatorcontrib><creatorcontrib>Park, Hae-won</creatorcontrib><creatorcontrib>Myung, Hyun</creatorcontrib><title>STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description>Wepropose 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.</description><subject>Algebra</subject><subject>Cameras</subject><subject>End effectors</subject><subject>Foot</subject><subject>Kinematics</subject><subject>Legged locomotion</subject><subject>Legged robots</subject><subject>localization</subject><subject>Robot sensing systems</subject><subject>Robots</subject><subject>Velocity</subject><subject>visual-inertial SLAM</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1LAzEQhoMoWGrvgpeA56353N14K6VVYcHSD68hm51dttSmJumh_96UFvEwzBzeZ4Z5EHqkZEwpUS_VcjJmhLExp5KUQtygAeNFkfEiz2__zfdoFMKWEEIlK7iSA7RcrWeLV7yKJgKehdh_m-g8blNV0HXQ4KWrXQx4E_p9hw1eeOj3ETqfgAbPnYv4C3bO9vGE58Ym-AHdtWYXYHTtQ7SZz9bT96z6fPuYTqrMMkVjxjiUNRdS2TK3nFqhWN5wXgtGc0ZUQ8pGtg2twVBrClkSKylrlFEkB1kqwYfo-bL34N3PEULUW3f0-3RSs5xzIjhl5xS5pKx3IXho9cGnJ_1JU6LP8nSSp8_y9FVeQp4uSA8Af3FVpHVU8l-GbmhQ</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Kim, Yeeun</creator><creator>Yu, Byeongho</creator><creator>Lee, Eungchang Mason</creator><creator>Kim, Joon-ha</creator><creator>Park, Hae-won</creator><creator>Myung, Hyun</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Algebra Cameras End effectors Foot Kinematics Legged locomotion Legged robots localization Robot sensing systems Robots Velocity visual-inertial SLAM |
title | STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor |
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