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CAREER: Textile-Based Wearable Robots with Integrated Fluidic Logic

CAREER: Textile-Based Wearable Robots with Integrated Fluidic Logic
职业:具有集成流体逻辑的基于纺织品的可穿戴机器人
批准号:
2144809
负责人:
Daniel Preston
金额:
$60.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-07-01 至 2027-06-30

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This Faculty Early Career Development (CAREER) award supports research to integrate fluidic computation—in which electronic voltages and currents are replaced by fluid pressure differences and flows—directly into a textile-based platform. Integration of fluidic logic in textiles represents an important step toward fully soft, untethered wearable assistive robots capable of improving quality of life for the 85 million adults in the United States living with physical functional limitations. Existing soft fluidic actuators for motion assistance and rehabilitation currently rely on hard valves and bulky electronic control systems which increase system weight and decrease comfort or require cumbersome tethers to external infrastructure, limiting adoption of these technologies. Textile-based fluidic computers will overcome this limitation, allowing onboard memory, decision making, and interaction with the environment, and leading to truly soft wearable assistive robots that look and feel like everyday clothing. An integrated educational plan focused on teaching, outreach, and mentoring will allow simultaneous development of impactful and innovative technology and promotion of the next generation of leaders in STEM. Planned activities include the use of hands-on fluid logic components in a local museum outreach and undergraduate curriculum that will be disseminated online, and longitudinal mentoring of high school and undergraduate students, with focus on underrepresented groups.To develop a textile-based platform for fluidic computation, a stepwise approach is taken. First, a deep fundamental understanding will be developed at the circuit element level by designing and characterizing textile-based fluidic analogs to resistors, capacitors, and relays. These circuit elements will be used as building blocks for fluidic digital logic, which will be engineered for high performance in terms of speed and other computational metrics. Finally, fluidic computers constructed from digital logic elements will be integrated directly into the structure of wearable assistive robots along with textile-based input/output devices and actuators. By default, all designs will be composite in nature, with performance dependent upon material choices and active element geometries. Design and experimental characterization will be significantly aided with physical modeling, including analytical nonlinear models of fluid flow. Validated models of circuit elements as well as logic circuits will be one of the research outcomes. Scalability of design and repeatability of fabrication will be key factors in the evaluation of success at all levels.This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).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(6)
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会议论文
A Soft Approach to Convey Vibrotactile Feedback in Wearables Through Mechanical Hysteresis
通过机械迟滞在可穿戴设备中传递振动触觉反馈的软方法
DOI: 10.1109/robosoft55895.2023.10122072
发表时间: 2023
期刊: 2023 IEEE International Conference on Soft Robotics (RoboSoft
影响因子: --
作者: [Fino, Nathaniel, Zook, Zane A., Jumet, Barclay, Preston, Daniel J., O'Malley, Marcia K.]
通讯作者: O'Malley, Marcia K.
Mechanofluidic Instability-Driven Wearable Textile Vibrotactor
机械流体不稳定驱动的可穿戴纺织振动器
DOI: 10.1109/toh.2023.3271128
发表时间: 2023
期刊: IEEE Transactions on Haptics
影响因子: 2.9
作者: [Fino, Nathaniel, Jumet, Barclay, Zook, Zane A., Preston, Daniel J., O'Malley, Marcia K.]
通讯作者: O'Malley, Marcia K.
EAGER: Edible Mechanical Metamaterials via 3D Printing for Enhanced Food Properties
  • 批准号:
    2333987
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.5万
  • 财政年份:
    2023
  • 负责人:
    Daniel Preston
  • 依托单位:
Collaborative Proposal: RAPID: Thermal Sterilization of Personal Protective Equipment Contaminated with SARS-CoV-2
  • 批准号:
    2030023
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2020
  • 负责人:
    Daniel Preston
  • 依托单位:
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