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The Expanse: Advances in Design, Optimization, and Simulation of Linkage-Based Systems
The Expanse: Advances in Design, Optimization, and Simulation of Linkage-Based Systems
The Expanse: Advances in Design, Optimization, and Simulation of Linkage-Based Systems

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202104845
ISBN  
9798297648234
DDC  
629.8
저자명  
Fogelson, Mitchell Bennett.
서명/저자  
The Expanse: Advances in Design, Optimization, and Simulation of Linkage-Based Systems
발행사항  
[Sl] : Carnegie Mellon University, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
176 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-04, Section: B.
주기사항  
Advisor: Manchester, Zachary;Cagan, Jonathan.
학위논문주기  
Thesis (Ph.D.)--Carnegie Mellon University, 2025.
초록/해제  
요약The performance of modern robotic systems is often attributed to limitations in control algorithms, computational resources, or model complexity. As a result, robot design has converged mainly on serial-chain architectures, which are straightforward to model, optimize, and simulate using existing tools. However, this focus overlooks the potential of more complex mechanical structures, where geometry, composition, and compliance can produce desired behaviors with minimal reliance on advanced control or computation. In aerospace, such designs have proven critical for missions like the James Webb Space Telescope, though they typically require extensive physical testing to ensure reliability. This thesis enhances the capabilities of linkage-based structures by introducing hierarchical composition, efficient optimization methods for high-dimensional design problems, and a data-driven physics-based digital twin framework for linkage analysis. Collectively, these contributions expand the design and analysis toolkit for mechanical systems in both robotic and aerospace applications.
일반주제명  
Robotics
일반주제명  
Aerospace engineering
키워드  
Co-design
키워드  
Deployable structures
키워드  
Differentiable physics
키워드  
Linkage design
키워드  
Space deployables
기타저자  
Carnegie Mellon University Mechanical Engineering
기본자료저록  
Dissertations Abstracts International. 87-04B.
전자적 위치 및 접속  
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■020    ▼a9798297648234
■035    ▼a(MiAaPQ)AAI32173523
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a629.8
■1001  ▼aFogelson,  Mitchell  Bennett.▼0(orcid)0009-0000-0938-4491
■24510▼aThe  Expanse:  Advances  in  Design,  Optimization,  and  Simulation  of  Linkage-Based  Systems
■260    ▼a[Sl]▼bCarnegie  Mellon  University▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a176  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-04,  Section:  B.
■500    ▼aAdvisor:  Manchester,  Zachary;Cagan,  Jonathan.
■5021  ▼aThesis  (Ph.D.)--Carnegie  Mellon  University,  2025.
■520    ▼aThe  performance  of  modern  robotic  systems  is  often  attributed  to  limitations  in  control  algorithms,  computational  resources,  or  model  complexity.  As  a  result,  robot  design  has  converged  mainly  on  serial-chain  architectures,  which  are  straightforward  to  model,  optimize,  and  simulate  using  existing  tools.  However,  this  focus  overlooks  the  potential  of  more  complex  mechanical  structures,  where  geometry,  composition,  and  compliance  can  produce  desired  behaviors  with  minimal  reliance  on  advanced  control  or  computation.  In  aerospace,  such  designs  have  proven  critical  for  missions  like  the  James  Webb  Space  Telescope,  though  they  typically  require  extensive  physical  testing  to  ensure  reliability.  This  thesis  enhances  the  capabilities  of  linkage-based  structures  by  introducing  hierarchical  composition,  efficient  optimization  methods  for  high-dimensional  design  problems,  and  a  data-driven  physics-based  digital  twin  framework  for  linkage  analysis.  Collectively,  these  contributions  expand  the  design  and  analysis  toolkit  for  mechanical  systems  in  both  robotic  and  aerospace  applications.
■590    ▼aSchool  code:  0041.
■650  4▼aRobotics
■650  4▼aAerospace  engineering
■653    ▼aCo-design
■653    ▼aDeployable  structures
■653    ▼aDifferentiable  physics
■653    ▼aLinkage  design
■653    ▼aSpace  deployables
■690    ▼a0771
■690    ▼a0538
■690    ▼a0800
■71020▼aCarnegie  Mellon  University▼bMechanical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g87-04B.
■790    ▼a0041
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359175▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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