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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

项目摘要

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中文摘要
翻译
由于几个原因,机器人的手不如人的手灵巧。一个原因是缺乏负担得起的高性能接触和力传感器来提供指尖的感觉。这个项目是为机器人的手开发一种新的廉价的指尖,目的是提高它们的灵活性。具体来说,新的指尖将包含一个消费级微型相机和一个柔性支架,以提供三个有希望增强灵巧操作的特性:(1)施加在指尖上的力与其挠度(即刚度)之间的良好特征关系;(2)高分辨率接触式位置传感;(3)高分辨率测量指尖施加的力和扭矩。为了实现这些特性,该项目分为四个任务:(1)设计和测试具有低滞后和应力松弛的紧凑型六自由度(6-dof)挠曲器,提供施加于挠曲器的扳手(力和扭矩)与其6-dof位移之间的一致映射;?(2)利用嵌入式摄像机对6自由度挠性位移进行视觉估计,线性位移目标分辨率优于100微米;(3)柔性位移传感、扳手传感和接触位置传感的台架测试,使用我们定制的5自由度应力应变测试机器人,该机器人提供的地面真实力传感分辨率优于0.01 N,运动分辨率优于1微米(线性)和0.001度(角);(4)初步验证传感器在单指灵巧操作任务中的实用性。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
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:
海外基金