I-Corps: Artificial Intelligence (AI)-Enabled and Digital Twin Interactive Robots for Facility Hygiene and Human Health

I-Corps：支持人工智能 (AI) 的数字孪生交互式机器人，用于设施卫生和人类健康

• 批准号: 2227108
• 负责人: Shuai Li
• 金额: $ 5万
• 依托单位: University of Tennessee Knoxville
• 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
• 起止时间: 2022-07-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227108&HistoricalAwards=false
• 关键词: Corps; Artificial; Intelligence; AI; Enabled

The broader impact/commercial potential of this I-Corps project is the development of a mobile disinfection device. The COVID-19 pandemic, seasonal epidemics of flu, and other infections placed heavy burdens on society. This proposed technology may improve current cleaning and disinfection practices with an intelligent robotic system. The proposed solution is designed to improve cleaning and disinfection efficacy, enhance personal hygiene and public health, and relieve the high workload and exposure risks facing cleaning and disinfection workers. These benefits may reduce the facility operational costs as well as opportunity costs from infection within facilities, and generate positive societal and economic impacts. The proposed service business model may facilitate the adoption of disinfection and service robots as a flexible choice, creating new opportunities and serving broader areas in the post-pandemic age.This I-Corps project is based on the development of an artificial intelligence (AI)-enabled and digital-twin interactive robot that adapts to ambient environments, social processes, and building dynamics for automated, continuous, precise, and socially-friendly disinfection. The key innovations include using a digital-twin based simulation and deep learning environment to train the robots to predict and perceive contaminated areas for precision disinfection at both the building and room levels. This research improves surface disinfection efficiency and effectiveness. Pathogen infection risks derived from data-driven modeling and simulation may provide a new stream of information for robot navigation to prioritize disinfection routes. In addition to the precision disinfection that specifically targets contaminated areas, the robots will learn to understand the social contexts (e.g., human activity and privacy within a room) to operate in the presence of humans without interrupting normal activities and exposing harmful substances such as ultraviolet lights to humans, enabling safe and socially-friendly disinfection. Augmented by high-fidelity virtual simulations, imitation learning will be developed to train the robots to learn the social and physical constraints and adapt their disinfection maneuvers with respect to the context and object geometry enabling complete, efficient, and safe disinfection. The technology may enable a single smart solution to maintain environmental hygiene and human health.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移动的消毒设备。COVID-19大流行、季节性流感疫情及其他感染给社会带来沉重负担。这项技术可以通过智能机器人系统改善当前的清洁和消毒实践。建议的解决方案旨在提高清洁和消毒效果，加强个人卫生和公共卫生，并减轻清洁和消毒工人面临的高工作量和暴露风险。这些益处可降低设施运营成本以及设施内感染的机会成本，并产生积极的社会和经济影响。拟议的服务业务模式可能有助于采用消毒和服务机器人作为一种灵活的选择，创造新的机会，并在后大流行时代为更广泛的领域提供服务。I-Corps项目基于开发一种人工智能（AI）和数字孪生互动机器人，该机器人能够适应周围环境，社交过程和建筑动态，实现自动化，连续，精确，和对社会友好的消毒主要创新包括使用基于数字孪生的模拟和深度学习环境来训练机器人预测和感知污染区域，以便在建筑物和房间级别进行精确消毒。该研究提高了表面消毒效率和有效性。从数据驱动的建模和模拟中得出的病原体感染风险可以为机器人导航提供新的信息流，以优先考虑消毒路线。除了专门针对污染区域的精确消毒外，机器人还将学习理解社会环境（例如，房间内的人类活动和隐私），以在人类存在的情况下操作，而不会中断正常活动并将有害物质（例如紫外线）暴露于人类，从而实现安全且对社会友好的消毒。通过高保真虚拟仿真增强，将开发模仿学习来训练机器人学习社会和物理约束，并根据上下文和对象几何形状调整其消毒操作，从而实现完整，高效和安全的消毒。该技术可以使一个单一的智能解决方案，以保持环境卫生和人类健康。这个奖项反映了NSF的法定使命，并已被认为是值得支持的评估使用基金会的知识价值和更广泛的影响审查标准。