Extended modifiable walking pattern generator and footstep planner for navigation of humanoid robots휴머노이드 로봇의 이동을 위한 확장된 가변적 걸음새 생성기와 발걸음 계획기

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dc.contributor.advisorKim, Jong-Hwan-
dc.contributor.advisor김종환-
dc.contributor.authorHong, Young-Dae-
dc.contributor.author홍영대-
dc.date.accessioned2013-09-11T05:13:31Z-
dc.date.available2013-09-11T05:13:31Z-
dc.date.issued2013-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=513083&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/180132-
dc.description학위논문(박사) - 한국과학기술원 : 전기및전자공학과, 2013.2, [ vii, 70 p. ]-
dc.description.abstractThese days, research on humanoid robots has made rapid progress for dexterous motions along with hardware development. Various humanoid robots have demonstrated stable walking algorithms. In most walking pattern generation methods for humanoid robots, it is assumed that the terrain is flat. However, in human environments, there exist inclined terrain, stairs, and uneven terrain as well as flat terrain. Therefore, walking pattern generation on various environments for humanoid robots is one of the key research issues. In this thesis, an extended modifiable walking pattern generator (MWPG) is proposed for modifiable walking of humanoid robots on various environments. The humanoid robots in the previous researches related to walking pattern generation on inclined terrain, stairs, and uneven terrain were unable to independently modify the elements of a walking pattern, i.e. the single and double support times, the sagittal and lateral step lengths, the foot height, and the foot direction of the swing leg, without any extra footstep for adjusting the center of mass (CoM) motion. Moreover, only the inclination along the pitch direction was considered for walking. In real environments, however, there exist inclined terrains in roll as well as pitch directions. To solve these problems, the MWPG is extended, which allows the zero moment point (ZMP) variation in real-time by closed form functions. The MWPG can independently modify the elements of the walking pattern without any extra footstep for adjusting the CoM motion. However, it can be applied only on flat terrain. Thus, in this thesis, an extended MWPG is developed to independently modify the elements of the walking pattern on inclined terrain, stairs, and uneven terrain. In the MWPG, to generate a walking pattern on flat terrain, a command state (CS) was defined as a navigational command set of the single and double support times, the sagittal and lateral step lengths, and the foot direction of the swing leg. I...eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectfootstep planner-
dc.subjectuneven terrain-
dc.subjectstairs-
dc.subjectinclined terrain-
dc.subject3-D linear inverted pendulum model (LIPM)-
dc.subjectmodifiable walking pattern generator (MWPG)-
dc.subjectHumanoid robot-
dc.subject휴머노이드 로봇-
dc.subject가변적 걸음새 생성기-
dc.subject3차원 선형 역진자 모델-
dc.subject경사면-
dc.subject계단-
dc.subject비평탄 지형-
dc.subject발걸음 계획기-
dc.subject진화 최적화-
dc.subjectevolutionary optimization-
dc.titleExtended modifiable walking pattern generator and footstep planner for navigation of humanoid robots-
dc.title.alternative휴머노이드 로봇의 이동을 위한 확장된 가변적 걸음새 생성기와 발걸음 계획기-
dc.typeThesis(Ph.D)-
dc.identifier.CNRN513083/325007 -
dc.description.department한국과학기술원 : 전기및전자공학과, -
dc.identifier.uid020095186-
dc.contributor.localauthorKim, Jong-Hwan-
dc.contributor.localauthor김종환-
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