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EAGER: An Inexpensive Tactile Fingertip for Dexterous Manipulation

EAGER: An Inexpensive Tactile Fingertip for Dexterous Manipulation
EAGER:用于灵巧操作的廉价触觉指尖
批准号:
1952598
负责人:
Kevin Lynch
金额:
$5.16万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2020-09-30

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中文摘要
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英文摘要
Robot hands fall short of the dexterity of human hands for several reasons. One reason is the lack of affordable high-performance contact and force sensors to provide sensation at the fingertips. This project is to develop a new inexpensive fingertip for robot hands, with the goal of enhancing their dexterity.? Specifically, the new fingertip will incorporate a consumer-grade miniature camera and a flexure mount to deliver three characteristics that are promising for enhancing dexterous manipulation: (1) a well-characterized relationship between the force applied to the fingertip and its deflection (i.e., stiffness); (2) high-resolution contact location sensing; and (3) high-resolution measurement of the forces and torques applied by the fingertip. To achieve these characteristics, the project is broken into four tasks: (1) the design and testing of a compact six-degree-of-freedom (6-dof) flexure exhibiting low hysteresis and stress relaxation, providing a consistent mapping between wrenches (forces and torques) applied to the flexure and its 6-dof displacement; ?(2) visual estimation of the 6-dof flexure displacement by the embedded camera, with a target resolution of better than 100 microns in linear displacement; (3) bench tests of flexure displacement sensing, wrench sensing, and contact location sensing, using our custom 5-dof stress-strain test robot, which provides ground-truth force sensing resolution of better than 0.01 N and motion resolution of better than 1 micron (linear) and 0.001 degrees (angular); and (4) initial validation of the utility of the sensor for dexterous manipulation in single-finger tasks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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RI: Small: Dynamic In-Hand Robotic Manipulation
  • 批准号:
    1527921
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.49万
  • 财政年份:
    2015
  • 负责人:
    Kevin Lynch
  • 依托单位:
Control of Robots that Move by Leaping, Bouncing, and Swinging
  • 批准号:
    1436297
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.0万
  • 财政年份:
    2014
  • 负责人:
    Kevin Lynch
  • 依托单位:
MRI: Equipment Development: Bimanual Robotic Manipulation and Sensory Workspace
  • 批准号:
    1229566
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2012
  • 负责人:
    Kevin Lynch
  • 依托单位:
NRI-Small: Collaborative Research: Addressing Clutter and Uncertainty for Robotic Manipulation in Human Environments
  • 批准号:
    1208479
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2012
  • 负责人:
    Kevin Lynch
  • 依托单位:
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