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Locomotion control of a hexapod robot with tripod gait using central pattern generator network

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dc.contributor.authorSheng, D.B.-
dc.contributor.authorNguyen, T.H.-
dc.contributor.authorNguyen, H.H.-
dc.contributor.authorKim, H.K.-
dc.contributor.authorJun, B.H.-
dc.contributor.authorKim, S.B.-
dc.date.accessioned2023-12-22T08:30:58Z-
dc.date.available2023-12-22T08:30:58Z-
dc.date.issued2017-
dc.identifier.issn1876-1100-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8531-
dc.description.abstractThis paper presents locomotion control of a hexapod robot with tripod gait using central pattern generator (CPG) network. To do this task, the followings are done. First, kinematic modeling of one leg with four links and four rotational joints of hexapod robot is proposed using Denavit-Hartenberg (DH) convention. Second, the walking gait of hexapod robot is generated by central pattern generator network. Third, mapping functions are proposed to map the output of CPG network into a desired trajectory of the end effector of the hexapod robot. It is difficult and complex to get the angles of four rotational joints of one leg using inverse kinematics. To solve this problem, differential kinematics algorithm is used to realize the end effector following the trajectory obtained by the mapping functions for six legs. Finally, simulation results for walking motion of the hexapod robot are shown to prove the effectiveness and applicability of the proposed controller. ? Springer International Publishing AG 2017.-
dc.format.extent16-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleLocomotion control of a hexapod robot with tripod gait using central pattern generator network-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-3-319-50904-4_65-
dc.identifier.scopusid2-s2.0-85009465968-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.415 LNEE, pp 625 - 640-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume415 LNEE-
dc.citation.startPage625-
dc.citation.endPage640-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusComplex networks-
dc.subject.keywordPlusInverse kinematics-
dc.subject.keywordPlusInverse problems-
dc.subject.keywordPlusKinematics-
dc.subject.keywordPlusMapping-
dc.subject.keywordPlusRobots-
dc.subject.keywordPlusCentral pattern generator-
dc.subject.keywordPlusD-H convention-
dc.subject.keywordPlusDesired trajectories-
dc.subject.keywordPlusDifferential kinematics-
dc.subject.keywordPlusHexapod robots-
dc.subject.keywordPlusLocomotion control-
dc.subject.keywordPlusMapping functions-
dc.subject.keywordPlusRotational joint-
dc.subject.keywordPlusEnd effectors-
dc.subject.keywordAuthorCentral pattern generator (CPG)-
dc.subject.keywordAuthorDH convention-
dc.subject.keywordAuthorDifferential kinematics algorithm-
dc.subject.keywordAuthorHexapod robot-
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