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CAREER: Muscle-Inspired Load-Adaptive Actuation for Compliant Robotics

CAREER: Muscle-Inspired Load-Adaptive Actuation for Compliant Robotics
职业:针对顺应性机器人的受肌肉启发的负载自适应驱动
批准号:
1845203
负责人:
Matthew Bryant
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-01 至 2024-04-30

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This Faculty Early Career Development Program (CAREER) project will advance the national health, welfare, and security through scientific advancements in the field of biologically-inspired robotics favorable for wearable technology and exoskeletons. The research will make important contributions to society by increasing robot energy efficiency and performance while simultaneously improving human-robot interaction compatibility and safety through the use of inherently soft actuators. Actuators are critical component of a machine or robot that are responsible for moving and controlling a mechanism or components of a system. Current robotic actuators are poorly suited to wearable or human-assistive applications because they are inefficient when used in slow, variable-speed motions like moving an arm or leg. In addition, they create human safety hazards due to their stiffness and rigid motions. This research will create a new type of actuator that is inspired by human muscle tissues, which contain thousands of fibers that are selectively recruited to provide only the amount of force needed for a given task. Engineering artificial muscles to incorporate this concept of selective recruitment will allow the robot to consume less energy, therefore increasing battery life and range. It will also allow the same actuator to generate both gentle, precise motion as well as high-force, high-speed motion, depending on the task, while also incorporating soft construction and controllable stiffness. This new approach will help make assistive robotics safer, more comfortable, and more compatible with human physiology, all of which will provide more rapid and effective recovery for those suffering from debilitating injuries or disabilities. This research lends itself well to outreach opportunities to work with young people who suffer from disabilities; the outreach activities will help inspire them and show them how engineering can be used to improve their lives and the lives of those around them.Improvements in actuator efficiency and performance can be made by implementing the biologically-inspired concept of orderly recruitment to create an integrated fluidic artificial muscle tissue that contains selectable actuation elements of different sizes. This tissue can dynamically adapt to changes in load by recruiting different combinations of actuators. This orderly recruitment scheme conserves energy by reducing working fluid consumption and minimizing throttling losses. It also allows for a wide gamut of force generation and fast response time due to reduced flow rate demand. The goals of this research are to (1) understand the relationships between recruitment state, pressure, force, contraction, and velocity for selective-recruitment fluidic artificial muscle tissues; (2) establish the effects of topology on performance and create a framework for optimizing tissues to robot operating tasks and requirements; (3) understand implications of recruitment control architecture; and (4) demonstrate bandwidth improvements, variable compliance, and energetic savings on a walking robot platform.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.
期刊论文(14)
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科研奖励(0)
会议论文
DOI: 10.3390/act10030042
发表时间: 2021-03-01
期刊: ACTUATORS
影响因子: 2.6
作者: [Kim, Jeong Yong, Mazzoleni, Nicholas, Bryant, Matthew]
通讯作者: Bryant, Matthew
Motor unit buckling in variable recruitment fluidic artificial muscle bundles: implications and mitigations
可变招募流体人工肌束中的运动单位屈曲:影响和缓解
DOI: 10.1088/1361-665x/ac49d9
发表时间: 2022
期刊: Smart Materials and Structures
影响因子: 4.1
作者: [Mazzoleni, Nicholas, Kim, Jeong Yong, Bryant, Matthew]
通讯作者: Bryant, Matthew
Free strain gradient reversal of a variable recruitment fluidic artificial muscle bundle
可变募集流体人工肌束的自由应变梯度反转
DOI: 10.1117/12.2583213
发表时间: 2021
期刊: and Bioreplication XI
影响因子: --
作者: [Kim, Jeong Yong, Mazzoleni, Nicholas, Bryant, Matthew]
通讯作者: Bryant, Matthew
Control of a dynamic load emulator for hardware-in-the-loop testing of fluidic artificial muscle bundles
用于流体人工肌束硬件在环测试的动态负载模拟器的控制
DOI: 10.1117/12.2612920
发表时间: 2022
期刊: and Bioreplication XI
影响因子: --
作者: [Mazzoleni, Nicholas, Kim, Jeong Yong, Bryant, Matthew J.]
通讯作者: Bryant, Matthew J.
14
    Control of Aeroelastic Structures via Prescribed Upstream Aerodynamic Disturbances
    • 批准号:
      2015983
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.42万
    • 财政年份:
      2020
    • 负责人:
      Matthew Bryant
    • 依托单位:
    WAKE MEDIATED COUPLING IN OSCILLATING HYDROFOIL TURBINE ARRAYS
    • 批准号:
      1509592
    • 项目类别:
      Standard Grant
    • 资助金额:
      $34.56万
    • 财政年份:
      2015
    • 负责人:
      Matthew Bryant
    • 依托单位:
    Integrated Structures for Multimode Ambient Energy Harvesting
    • 批准号:
      1435077
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.5万
    • 财政年份:
      2014
    • 负责人:
      Matthew Bryant
    • 依托单位:
    海外基金