Smartening Legacy Objects: Transforming Legacy Physical Objects Into Smart Entities Through Robotic Augmentations
Smartening Legacy Objects: Transforming Legacy Physical Objects Into Smart Entities Through Robotic Augmentations
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151024
- ISBN
- 9798381960211
- DDC
- 621
- 저자명
- Li, Jiahao.
- 서명/저자
- Smartening Legacy Objects: Transforming Legacy Physical Objects Into Smart Entities Through Robotic Augmentations
- 발행사항
- [Sl] : University of California, Los Angeles, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 202 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
- 주기사항
- Advisor: Hong, Dennis W.;Chen, Xiang.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2024.
- 초록/해제
- 요약Recent digital technologies have envisioned a future ecosystem where objects are not merely passive entities but actively participate in and respond to the interaction between the user and the environment. While the majority of existing physical objects remain unsmart, researchers and practitioners have made efforts to incrementally upgrade legacy objects to perform digital tasks. However, there has been limited support for the automation of physical tasks, which is essential for users within certain demographics (e.g., the elderly and people with disabilities) or in scenarios of situational impairments.To bridge this gap, my thesis research aims to augment physical legacy objects with the ability to perform physical tasks automatically. My research explores two different types of augmentations: (i) involves augmenting the physical objects to perform tasks without external assistance, and (ii) augmenting the objects to be more manipulable by robots. Specifically, I have introduced innovative methods for designing mechanical mechanisms that either empower objects to actuate on their own or enable actuation through an external robotic arm. A crucial aspect of enabling such robotic manipulation is a novel data collection technique I proposed, aimed at accurately estimating the pose of objects whose appearance changes during manipulation. Furthermore, given the diverse range of physical objects present in our daily lives, a central goal of my research is to democratize the design process, making it more accessible for augmenting these legacy items.In summary, my thesis aspires to enhance physical objects with the approach of robotic augmentations, smartening them to perform physical tasks for a more interactive and responsive future.
- 일반주제명
- Mechanical engineering
- 일반주제명
- Computer science
- 일반주제명
- Robotics
- 키워드
- Design tools
- 키워드
- Everyday objects
- 키워드
- Fabrication
- 키워드
- Pose estimation
- 기타저자
- University of California, Los Angeles Mechanical Engineering 0330
- 기본자료저록
- Dissertations Abstracts International. 85-09B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aLi, Jiahao.
■24510▼aSmartening Legacy Objects: Transforming Legacy Physical Objects Into Smart Entities Through Robotic Augmentations
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a202 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-09, Section: B.
■500 ▼aAdvisor: Hong, Dennis W.;Chen, Xiang.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2024.
■520 ▼aRecent digital technologies have envisioned a future ecosystem where objects are not merely passive entities but actively participate in and respond to the interaction between the user and the environment. While the majority of existing physical objects remain unsmart, researchers and practitioners have made efforts to incrementally upgrade legacy objects to perform digital tasks. However, there has been limited support for the automation of physical tasks, which is essential for users within certain demographics (e.g., the elderly and people with disabilities) or in scenarios of situational impairments.To bridge this gap, my thesis research aims to augment physical legacy objects with the ability to perform physical tasks automatically. My research explores two different types of augmentations: (i) involves augmenting the physical objects to perform tasks without external assistance, and (ii) augmenting the objects to be more manipulable by robots. Specifically, I have introduced innovative methods for designing mechanical mechanisms that either empower objects to actuate on their own or enable actuation through an external robotic arm. A crucial aspect of enabling such robotic manipulation is a novel data collection technique I proposed, aimed at accurately estimating the pose of objects whose appearance changes during manipulation. Furthermore, given the diverse range of physical objects present in our daily lives, a central goal of my research is to democratize the design process, making it more accessible for augmenting these legacy items.In summary, my thesis aspires to enhance physical objects with the approach of robotic augmentations, smartening them to perform physical tasks for a more interactive and responsive future.
■590 ▼aSchool code: 0031.
■650 4▼aMechanical engineering
■650 4▼aComputer science
■650 4▼aRobotics
■653 ▼aDesign tools
■653 ▼aEveryday objects
■653 ▼aFabrication
■653 ▼aHuman-computer interaction
■653 ▼aPose estimation
■653 ▼aRobotic augmentation
■690 ▼a0548
■690 ▼a0984
■690 ▼a0800
■690 ▼a0771
■71020▼aUniversity of California, Los Angeles▼bMechanical Engineering 0330.
■7730 ▼tDissertations Abstracts International▼g85-09B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160464▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
