Collaborative Research: EAGER: Technology-Assisted Accessible Clothing: Soft Robotic Interaction Technologies and an Assessment Framework for Clothing Accessibility

合作研究：EAGER：技术辅助的无障碍服装：软机器人交互技术和服装无障碍评估框架

• 批准号: 2324342
• 负责人: Bradley Holschuh
• 金额: $ 10.01万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324342&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; Technology; Assisted

This research will investigate strategies to quantify, evaluate, and improve physical accessibility of everyday clothing using minimalistic, garment-based assistive soft robotics. To this end, a collaborative effort brings together experts in apparel design, soft robotics, human-computer interaction/human factors, and rehabilitation to explore open questions both in design for accessibility and in garment-based robotics. The project will lay the groundwork for a large-scale study to pursue a future of universally accessible clothing that seamlessly blends everyday garments and soft robotics, and which accommodates users with a variety of abilities, limitations, needs, and objectives. Project outcomes will ultimately lead to new approaches to both evaluate and robotically customize/support body-garment interfaces for a wide range of wearable systems, from everyday clothing to robotic exoskeletons to orthoses/prostheses. Project goals will be pursued through two specific thrusts: (1) Formulate a set of generalizable user-identified evaluation criteria / metrics for assessing accessibility of garments; (2) Design and implement a self-tightening / fastening "robotic belt" as a proof-of-concept prototype of a soft robotic "garment" to establish preliminary evidence of the feasibility and transformative potential of the approach. The novel garment accessibility evaluation metrics and soft-robotic technology proof-of-concept combined will set the stage for the development and deployment o several garment-based soft-robotic accessibility solutions and evaluation of their impact at improving accessibility of everyday clothing compared to existing passive accessibility solutions.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.

本研究将探讨策略，以量化，评估和改善日常服装的物理可及性使用简约，基于服装的辅助软机器人。 为此，一项合作努力汇集了服装设计，软机器人，人机交互/人为因素和康复方面的专家，以探索无障碍设计和基于服装的机器人技术中的开放问题。 该项目将为一项大规模研究奠定基础，以追求未来的普遍可访问服装，无缝融合日常服装和软机器人，并适应用户的各种能力，限制，需求和目标。 项目成果将最终导致新的方法来评估和机器人定制/支持身体服装接口的广泛的可穿戴系统，从日常服装到机器人外骨骼矫形器/假肢。将通过两个具体的重点来实现项目目标：（1）制定一套可推广的、由用户确定的评价标准/指标，用于评估服装的无障碍性;（2）设计和实施一种自紧/系紧的“机器人腰带”，作为软机器人“服装”的概念验证原型，以确立该方法可行性和变革潜力的初步证据。 新的服装可达性评估指标和软机器人技术的概念验证相结合，将为开发和部署几个基于服装的软机器人技术奠定基础。机器人无障碍解决方案，并评估其与现有被动无障碍解决方案相比在改善日常服装无障碍方面的影响。该奖项反映了NSF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。