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Ascending New Heights: Enhancing Bipedal Robotic Locomotion Through Stair Climbing
Ascending New Heights: Enhancing Bipedal Robotic Locomotion Through Stair Climbing
Ascending New Heights: Enhancing Bipedal Robotic Locomotion Through Stair Climbing

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20250211152057
ISBN  
9798382739274
DDC  
620
저자명  
Dosunmu-Ogunbi, Oluwami.
서명/저자  
Ascending New Heights: Enhancing Bipedal Robotic Locomotion Through Stair Climbing
발행사항  
[Sl] : University of Michigan, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
134 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
주기사항  
Advisor: Grizzle, Jessy W.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2024.
초록/해제  
요약A new control paradigm using angular momentum and foot placement as state variables in the linear inverted pendulum model has expanded the realm of possibilities for the control of bipedal robots. This new paradigm, known as the Angular Linear Inverted Pendulum (ALIP) model, has shown effectiveness in cases where a robot's center of mass height can be assumed to be constant or near constant as well as in cases where there are no non-kinematic restrictions on foot placement. Walking up and down stairs violates both of these assumptions, where center of mass height varies significantly within a step and the geometry of the stairs restrict the effectiveness of foot placement.In this thesis, we explore a variation of the ALIP model that allows the length of the virtual pendulum formed by the robot's stance foot and center of mass to follow smooth trajectories during a step. We couple this model with a control strategy constructed from a novel combination of virtual constraint-based control and a model predictive control algorithm to stabilize a stair-climbing gait that does not solely rely on foot placement. Simulations on a 20-degree of freedom model of the Cassie biped in the SimMechanics simulation environment show that the controller is able to achieve periodic gait. Hardware experiments also show promise of improving the robustness of walking gaits on inclined surfaces.
일반주제명  
Engineering
일반주제명  
Robotics
일반주제명  
Automotive engineering
일반주제명  
Mechanics
키워드  
Bipedal locomotion
키워드  
Humanoids
키워드  
Stair climbing
키워드  
Angular Linear Inverted Pendulum
키워드  
Bipedal robots
기타저자  
University of Michigan Robotics
기본자료저록  
Dissertations Abstracts International. 85-12B.
전자적 위치 및 접속  
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MARC

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■1001  ▼aDosunmu-Ogunbi,  Oluwami.
■24510▼aAscending  New  Heights:  Enhancing  Bipedal  Robotic  Locomotion  Through  Stair  Climbing
■260    ▼a[Sl]▼bUniversity  of  Michigan▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a134  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-12,  Section:  B.
■500    ▼aAdvisor:  Grizzle,  Jessy  W.
■5021  ▼aThesis  (Ph.D.)--University  of  Michigan,  2024.
■520    ▼aA  new  control  paradigm  using  angular  momentum  and  foot  placement  as  state  variables  in  the  linear  inverted  pendulum  model  has  expanded  the  realm  of  possibilities  for  the  control  of  bipedal  robots.  This  new  paradigm,  known  as  the  Angular  Linear  Inverted  Pendulum  (ALIP)  model,  has  shown  effectiveness  in  cases  where  a  robot's  center  of  mass  height  can  be  assumed  to  be  constant  or  near  constant  as  well  as  in  cases  where  there  are  no  non-kinematic  restrictions  on  foot  placement.  Walking  up  and  down  stairs  violates  both  of  these  assumptions,  where  center  of  mass  height  varies  significantly  within  a  step  and  the  geometry  of  the  stairs  restrict  the  effectiveness  of  foot  placement.In  this  thesis,  we  explore  a  variation  of  the  ALIP  model  that  allows  the  length  of  the  virtual  pendulum  formed  by  the  robot's  stance  foot  and  center  of  mass  to  follow  smooth  trajectories  during  a  step.  We  couple  this  model  with  a  control  strategy  constructed  from  a  novel  combination  of  virtual  constraint-based  control  and  a  model  predictive  control  algorithm  to  stabilize  a  stair-climbing  gait  that  does  not  solely  rely  on  foot  placement.  Simulations  on  a  20-degree  of  freedom  model  of  the  Cassie  biped  in  the  SimMechanics  simulation  environment  show  that  the  controller  is  able  to  achieve  periodic  gait.  Hardware  experiments  also  show  promise  of  improving  the  robustness  of  walking  gaits  on  inclined  surfaces.
■590    ▼aSchool  code:  0127.
■650  4▼aEngineering
■650  4▼aRobotics
■650  4▼aAutomotive  engineering
■650  4▼aMechanics
■653    ▼aBipedal  locomotion
■653    ▼aHumanoids
■653    ▼aStair  climbing
■653    ▼aAngular  Linear  Inverted  Pendulum
■653    ▼aBipedal  robots
■690    ▼a0771
■690    ▼a0537
■690    ▼a0346
■690    ▼a0540
■71020▼aUniversity  of  Michigan▼bRobotics.
■7730  ▼tDissertations  Abstracts  International▼g85-12B.
■790    ▼a0127
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162810▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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