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

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 46
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, Ye-Eunko
dc.contributor.authorYu, Byeong-Hoko
dc.contributor.authorLee, Eung-Changko
dc.contributor.authorKim, Joon-Hako
dc.contributor.authorPark, Hae-Wonko
dc.contributor.authorMyung, Hyunko
dc.date.accessioned2022-11-10T08:00:54Z-
dc.date.available2022-11-10T08:00:54Z-
dc.date.created2022-09-06-
dc.date.issued2022-05-23-
dc.identifier.citation2022 International Conference on Robotics and Automation, ICRA 2022-
dc.identifier.urihttp://hdl.handle.net/10203/299496-
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-
dc.titleSTEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2022 International Conference on Robotics and Automation, ICRA 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationPhiladelphia-
dc.contributor.localauthorPark, Hae-Won-
dc.contributor.localauthorMyung, Hyun-
Appears in Collection
ME-Conference Papers(학술회의논문)EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0