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Reach Goals: Design Principles for Robot End-Effectors Operating in Constrained, Contact-Rich Spaces
Reach Goals: Design Principles for Robot End-Effectors Operating in Constrained, Contact-Rich Spaces
Detailed Information
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153052
- ISBN
- 9798346382737
- DDC
- 612.97
- 서명/저자
- Reach Goals: Design Principles for Robot End-Effectors Operating in Constrained, Contact-Rich Spaces
- 발행사항
- [Sl] : Stanford University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 161 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
- 주기사항
- Advisor: Cutkosky, Mark.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2024.
- 초록/해제
- 요약This dissertation addresses the challenges and design requirements for robotic manipulators operating in household settings. While industrial robots have significantly improved productivity and precision in manufacturing, their designs are less suited for home environments, which are characterized by constraints on multiple scales. Often exhibiting high end-point inertia, traditional robotic platforms rely on collision-free navigation to maintain safety, an approach that is impractical when navigating highly cluttered scenes. Additionally, standard robot arms paired with bulky grippers are unable to reach into narrow spaces or maneuver around the obstacles imposed by cabinets, drawers, and sinks.We explore several approaches to overcome these limitations. Firstly, we investigate the design of low-inertia hands that can safely make contact when quickly navigating amidst lightweight, movable obstacles. We show methods for leveraging low-impact contact to grasp and localize objects. While reducing inertia promotes safety at the timescale of impact, understanding the outcomes of sustained contact is essential when using incidental contacts to rearrange objects when collision-free paths are unavailable. Therefore, we develop and evaluate a high-coverage, flexible sensor network designed to sense and monitor the outcomes of sustained contact. While rearranging objects through non-prehensile manipulation typically requires accurate models of the environment, we propose a method that does not even require identifying the object the robot is in contact with. Our approach, instead, monitors the evolution of a contact patch over time, tracking simple features to estimate whether an object is movable or immovable and further distinguishing movable objects as safely sliding or beginning to tip.The culmination of our work is the introduction of a novel end-effector specifically designed for operation in constrained, contact-rich spaces---SLIM, a Symmetric, Low-Inertia Manipulator. We discuss the design principles that make SLIM uniquely suited for household applications, including its compact form factor, highly-mobile finger and wrist joints, and series elastic actuation. Through a combination of numerical analysis and experimental validation, we demonstrate the benefit of the design principles in terms of grasp range, workspace, swept volume, inertial properties, and efficiency of motion. User studies demonstrate the practical advantages of SLIM over a conventional two-finger gripper when performing everyday tasks in constrained spaces.Overall, this dissertation contributes to the field of robotic manipulation by addressing key limitations in existing design paradigms and proposing solutions that enhance the capabilities of robots in dynamic, unstructured environments. Our findings have implications for the development of household robots, paving the way for more versatile and effective robotic assistants in everyday settings.
- 일반주제명
- Wrist
- 일반주제명
- Kinematics
- 일반주제명
- Robots
- 일반주제명
- Design
- 일반주제명
- Hands
- 일반주제명
- Energy
- 일반주제명
- Households
- 일반주제명
- Robotics
- 기타저자
- Stanford University.
- 기본자료저록
- Dissertations Abstracts International. 86-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211153052
■006m o d
■007cr#unu||||||||
■020 ▼a9798346382737
■035 ▼a(MiAaPQ)AAI31643344
■035 ▼a(MiAaPQ)Stanfordmh684qp1372
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a612.97
■1001 ▼aThomasson, Rachel P.
■24510▼aReach Goals: Design Principles for Robot End-Effectors Operating in Constrained, Contact-Rich Spaces
■260 ▼a[Sl]▼bStanford University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a161 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-05, Section: B.
■500 ▼aAdvisor: Cutkosky, Mark.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2024.
■520 ▼aThis dissertation addresses the challenges and design requirements for robotic manipulators operating in household settings. While industrial robots have significantly improved productivity and precision in manufacturing, their designs are less suited for home environments, which are characterized by constraints on multiple scales. Often exhibiting high end-point inertia, traditional robotic platforms rely on collision-free navigation to maintain safety, an approach that is impractical when navigating highly cluttered scenes. Additionally, standard robot arms paired with bulky grippers are unable to reach into narrow spaces or maneuver around the obstacles imposed by cabinets, drawers, and sinks.We explore several approaches to overcome these limitations. Firstly, we investigate the design of low-inertia hands that can safely make contact when quickly navigating amidst lightweight, movable obstacles. We show methods for leveraging low-impact contact to grasp and localize objects. While reducing inertia promotes safety at the timescale of impact, understanding the outcomes of sustained contact is essential when using incidental contacts to rearrange objects when collision-free paths are unavailable. Therefore, we develop and evaluate a high-coverage, flexible sensor network designed to sense and monitor the outcomes of sustained contact. While rearranging objects through non-prehensile manipulation typically requires accurate models of the environment, we propose a method that does not even require identifying the object the robot is in contact with. Our approach, instead, monitors the evolution of a contact patch over time, tracking simple features to estimate whether an object is movable or immovable and further distinguishing movable objects as safely sliding or beginning to tip.The culmination of our work is the introduction of a novel end-effector specifically designed for operation in constrained, contact-rich spaces---SLIM, a Symmetric, Low-Inertia Manipulator. We discuss the design principles that make SLIM uniquely suited for household applications, including its compact form factor, highly-mobile finger and wrist joints, and series elastic actuation. Through a combination of numerical analysis and experimental validation, we demonstrate the benefit of the design principles in terms of grasp range, workspace, swept volume, inertial properties, and efficiency of motion. User studies demonstrate the practical advantages of SLIM over a conventional two-finger gripper when performing everyday tasks in constrained spaces.Overall, this dissertation contributes to the field of robotic manipulation by addressing key limitations in existing design paradigms and proposing solutions that enhance the capabilities of robots in dynamic, unstructured environments. Our findings have implications for the development of household robots, paving the way for more versatile and effective robotic assistants in everyday settings.
■590 ▼aSchool code: 0212.
■650 4▼aWrist
■650 4▼aKinematics
■650 4▼aRobots
■650 4▼aDesign
■650 4▼aHands
■650 4▼aEnergy
■650 4▼aHouseholds
■650 4▼aRobotics
■690 ▼a0771
■690 ▼a0791
■690 ▼a0389
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g86-05B.
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164829▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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