CAREER: Personalized, wearable robot mobility assistance considering human-robot co-adaptation that incorporates biofeedback, user coaching, and real-time optimization

职业：个性化、可穿戴机器人移动辅助，考虑人机协同适应，结合生物反馈、用户指导和实时优化

• 批准号: 2340519
• 负责人: Myunghee Kim
• 金额: $ 60.86万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-09-01 至 2029-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2340519&HistoricalAwards=false
• 关键词: CAREER; Personalized; wearable; robot; mobility

Despite great strides in personalized assistive devices, it remains challenging to achieve tailored performance in prosthetic devices for below-knee amputations (BKA). Wearable devices often provide a fixed level of assistance that does not adapt to user needs. This CAREER project seeks to innovate by acknowledging the unique movement patterns and sensory needs of individuals with BKA. The project aim is to develop a new form of personalized robotic prosthesis that is capable of adjusting to the individual movement patterns of BKA users to enhance their mobility and overall quality of life. Successful completion of this project will deepen our understanding of human-robot interaction and foster more inclusive technology designs. Additionally, the project integrates educational activities that aim to raise awareness about advanced technology among diverse student groups, including those with limited mobility and those who are underserved in STEM fields. This approach not only promotes inclusive education but also inspires a new generation of STEM professionals, contributing positively to society.The research goal of this CAREER project is to transform the design and application of wearable robots for people with below-knee amputations (BKA) by focusing on personalized assistance that adapts to human changes. The motivation driving this research is that wearable robots, which are continually personalized and co-adaptive to user changes, will greatly improve outcomes for BKA users. The project includes three main studies. The first study will develop and test a personalized robotic prosthesis, using advanced adaptive optimization and biofeedback methods to adjust the device according to each user's specific needs. This personalized approach will allow the prosthesis to adapt in real-time to the user's movements. The second study will develop a coaching strategy using verbal instructions and real-time visual feedback, helping users learn and maintain beneficial movement patterns. This will encourage correct use of the prosthesis and help avoid movements that could cause long-term health problems. The final part of the project will use multi-objective optimization techniques to dynamically adjust the performance of the prosthetic, ensuring it continues to adapt and provide the best assistance. The expected results of this research include significantly improved mobility and quality of life for BKA users and new insights that could benefit a wider range of people with mobility challenges, informing future developments in wearable robotics and assistive technology.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.

尽管个性化辅助设备取得了巨大进步，但要实现膝下截肢 (BKA) 假肢设备的定制性能仍然具有挑战性。可穿戴设备通常提供固定级别的帮助，无法适应用户的需求。该职业项目旨在通过承认 BKA 患者独特的运动模式和感官需求来实现创新。该项目的目标是开发一种新型的个性化机器人假肢，能够适应 BKA 用户的个人运动模式，以提高他们的活动能力和整体生活质量。该项目的成功完成将加深我们对人机交互的理解，并促进更具包容性的技术设计。此外，该项目还整合了教育活动，旨在提高不同学生群体（包括行动不便的学生和 STEM 领域服务不足的学生）对先进技术的认识。这种方法不仅促进了包容性教育，还激励了新一代 STEM 专业人士，为社会做出积极贡献。这个 CAREER 项目的研究目标是通过以下方式改变膝下截肢 (BKA) 患者的可穿戴机器人的设计和应用：专注于适应人类变化的个性化帮助。推动这项研究的动机是可穿戴机器人不断个性化并共同适应用户的变化，将极大地改善 BKA 用户的结果。该项目包括三项主要研究。第一项研究将开发和测试个性化机器人假肢，使用先进的自适应优化和生物反馈方法根据每个用户的具体需求调整设备。这种个性化的方法将使假肢能够实时适应用户的动作。第二项研究将使用口头指令和实时视觉反馈制定指导策略，帮助用户学习和保持有益的运动模式。这将鼓励正确使用假肢，并有助于避免可能导致长期健康问题的运动。该项目的最后部分将使用多目标优化技术来动态调整假肢的性能，确保其持续适应并提供最佳帮助。这项研究的预期结果包括显着改善 BKA 用户的移动性和生活质量，以及可以使更广泛的移动挑战者受益的新见解，为可穿戴机器人和辅助技术的未来发展提供信息。该奖项反映了 NSF 的法定使命，并具有通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。