I-Corps: Wearable Soft Robotic Glove for Hand Assistance and Rehabilitation
I-Corps:用于手部辅助和康复的可穿戴软机器人手套
基本信息
- 批准号:2132714
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is the development of a soft robotic glove for hand rehabilitation and assistance for recovering stroke patients. Currently, there are over seven million stroke survivors in the US and two-thirds of them experience loss of hand functions. Physical therapy is essential to restore the use of their hand/finger(s), but it may not be affordable or accessible for many stroke patients. The goal of the proposed wearable soft robotic glove is to enable safe, low-cost, customizable, and dexterous hand assistance in daily tasks, making it easy to use outside clinics. This technology has the potential to change how rehabilitation is administered to patients by enabling therapeutic exercises to be done anytime and anywhere, making rehabilitation more convenient for patients, reducing the workload of physical therapists, and lowering the overall cost of healthcare. The proposed technology can also be used to rehabilitate impaired users with various types of neurological diseases, or assist healthy users to prevent injuries and improve task performance.This I-Corps project is based on the development of novel, fabric-reinforced, textile actuators. These actuators are pneumatically driven and can be fabricated using lamination and sewing for fast prototyping and mass production. These actuators exploit unique capabilities including: zero initial stiffness, full collapsibility, high power-to-weight ratio, puncture resistance, and high stretchability. The actuators can perform the functions of bending, twisting, contraction, elongation, as well as combinations of these motion profiles to support versatile hand activities. Computational models are developed based on the finite element method and experimentally validated to predict the kinematic and force/torque outputs of the actuators. The predictions allow for design optimization and customization. The users' intents are estimated online using measurements from the onboard soft stretch sensors, which allows volitional control of each soft actuator to support the hand motions. Multiple prototypes of soft robotic gloves have been fabricated. Preliminary results have shown that: 1) users can easily don and doff the gloves by themselves, 2) actuators can be precisely aligned to the human fingers, and 3) the assistive torque can be dynamically adjusted by controlling the pressure inside the actuator.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.
这个I-Corps项目更广泛的影响/商业潜力是开发一种用于手部康复和帮助中风患者康复的软机器人手套。目前,美国有超过700万中风幸存者,其中三分之二的人失去了手部功能。物理治疗对于恢复他们的手/手指的使用至关重要,但对于许多中风患者来说可能负担不起或无法获得。提出的可穿戴软机器人手套的目标是在日常任务中实现安全,低成本,可定制和灵巧的手部辅助,使其易于在诊所外使用。这项技术有可能改变患者的康复管理方式,使治疗练习可以随时随地进行,使患者康复更方便,减少物理治疗师的工作量,降低医疗保健的整体成本。拟议的技术还可用于康复患有各种类型神经系统疾病的受损用户,或帮助健康用户防止受伤并提高任务绩效。该I-Corps项目基于新型织物增强纺织致动器的开发。这些致动器是电驱动的,可以使用层压和缝纫进行快速原型制作和大规模生产。这些致动器利用独特的能力,包括:零初始刚度,完全可伸缩性,高功率重量比,耐穿刺性和高拉伸性。致动器可以执行弯曲、扭转、收缩、伸长以及这些运动轮廓的组合的功能,以支持多功能的手部活动。计算模型的基础上开发的有限元方法和实验验证,以预测的运动和力/扭矩输出的致动器。 预测允许设计优化和定制。使用者的意图是使用来自板载软拉伸传感器的测量值在线估计的,这允许对每个软致动器进行意志控制以支持手部运动。已经制造了多个软机器人手套原型。初步结果表明:1)使用者可以自己轻松地戴上和戴上手套; 2)执行器可以精确地对准人类手指; 3)可以通过控制执行器内部的压力来动态调整辅助扭矩。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Wenlong Zhang其他文献
An adaptive rate control scheme for multi-screen sharing system based on H.264/SVC
基于H.264/SVC的多屏共享系统自适应码率控制方案
- DOI:
10.1109/iccwamtip.2014.7073395 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Shizhe Tan;Wenlong Zhang;Yuandong Li - 通讯作者:
Yuandong Li
The Sweep of Things
事物的扫荡
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Wenlong Zhang;Xiangli Meng;Junwei Wang - 通讯作者:
Junwei Wang
The role of microbial communities on primary producers in aquatic ecosystems: Implications in turbidity stress resistance
微生物群落对水生生态系统初级生产者的作用:对浊度胁迫抵抗力的影响
- DOI:
10.1016/j.envres.2022.114353 - 发表时间:
2022 - 期刊:
- 影响因子:8.3
- 作者:
Wenlong Zhang;Pengcheng Zhou;Shenyang Pan;Yi Li;Li Lin;Lihua Niu;Longfei Wang;Huanjun Zhang - 通讯作者:
Huanjun Zhang
Short-term changes in simulated inundation frequency differentially affect inorganic nitrogen, nitrification, and denitrification in estuarine marshes
模拟淹没频率的短期变化对河口沼泽无机氮、硝化作用和反硝化作用的影响存在差异
- DOI:
10.1016/j.ecolind.2019.105571 - 发表时间:
2019-12 - 期刊:
- 影响因子:6.9
- 作者:
Weifang Hu;Wenlong Zhang;Linhai Zhang;Xianbiao Lin;Chuan Tong;Derrick Y.F. Lai;Yuemin Chen;Congsheng Zeng - 通讯作者:
Congsheng Zeng
Corrosion behaviour of nanocrystallines 304 stainless steel in simulated secondary side environment
纳米晶304不锈钢在模拟二次侧环境中的腐蚀行为
- DOI:
10.1080/02670836.2019.1595896 - 发表时间:
2019 - 期刊:
- 影响因子:1.8
- 作者:
Jiang Liu;Chunming Wang;Wenlong Zhang;Tingting Xia;Xuehui Zhang;Tongxiang Liang;Tahir Ahmad;Bin Yang - 通讯作者:
Bin Yang
Wenlong Zhang的其他文献
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{{ truncateString('Wenlong Zhang', 18)}}的其他基金
Collaborative Research: SLES: Safe Distributional-Reinforcement Learning-Enabled Systems: Theories, Algorithms, and Experiments
协作研究:SLES:安全的分布式强化学习系统:理论、算法和实验
- 批准号:
2331781 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CCRI: Planning-C: Developing a Minecraft-based Testbed for Evaluating Human-AI Teaming Research
CCRI:Planning-C:开发基于 Minecraft 的测试平台,用于评估人类-人工智能团队研究
- 批准号:
2213827 - 财政年份:2022
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CAREER: Facilitating Human Interaction with Assistive Robots Through Intent Signaling and Inference
职业:通过意图信号和推理促进人类与辅助机器人的交互
- 批准号:
1944833 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NRI: FND: Scalable and Customizable Intent Inference and Motion Planning for Socially-Adept Autonomous Vehicles
NRI:FND:适用于社交自动驾驶车辆的可扩展和可定制的意图推理和运动规划
- 批准号:
1925403 - 财政年份:2019
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CRII: CHS: Enabling Safe and Adaptive Robot-aided Gait Training through Biomechanical Characterization and Learning from Demonstration
CRII:CHS:通过生物力学表征和从演示中学习,实现安全和自适应机器人辅助步态训练
- 批准号:
1756031 - 财政年份:2018
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER: Distributed Iterative Control of Soft Robotic Arms
EAGER:软机械臂的分布式迭代控制
- 批准号:
1800940 - 财政年份:2018
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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