Phase II IUCRC University of Minnesota: Center for Robots and Sensors for the Human Well-being

第二阶段 IUCRC 明尼苏达大学：人类福祉机器人和传感器中心

• 批准号: 1939033
• 负责人: Vassilios Morellas
• 金额: $ 72.5万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1939033&HistoricalAwards=false
• 关键词: Phase; II; IUCRC; University; Minnesota

The NSF Industry/University Cooperative Research Center (I/UCRC) on Robots and Sensors for Human Well-Being (ROSE-HUB) Phase II will play a leadership role in nurturing and accelerating the deployment of robotics and intelligent sensor technologies in a wide range of application domains key to the national economy, e.g., transportation, energy, logistics, manufacturing, and infrastructure and the well-being of the society, e.g., in healthcare. The ROSE-HUB center will facilitate center university researchers to work with partners from industry, government, other universities, and non-profit organizations to seek solutions to critical real-world challenges. The ROSE-HUB center at the University of Minnesota will build on recent AI/Machine learning breakthroughs to develop systems and robots with embedded sensors to exhibit enhanced au-tonomy and intelligence. Particularly, it will focus on large scale data generation in the domains of agriculture (for maximizing yield and protecting the environment), medical (for exploring mental disorders and independent living), construction (for digitizing and assess work progress), and innovative UAV robot designs exhibiting unique mobility and energy consumption characteristics. The project is ready to catalyze bold ideas to propel the nation to new technological advance-ments in the aforementioned application domains.Center research will focus on applications including physical/mental health, robots and sensor systems to assist humans, innovative robot designs for monitoring and data collection, precision agriculture, digitization of construction processes, intelligent transportation systems, etc. Re-search will impact: a) industrial members by inserting research into product pipelines, b) re-searchers by exploring new ideas and application domains, c) students by providing hands-on experience and future employment potential, and d) academic curricula. Additionally, annual technology days will attract middle school students from underrepresented groups to engineer-ing, and outreach programs to local K-16 institutions will encourage pursuit of engineering educa-tion. The project will create hardware and software and collect experimental data from fixed and mo-bile robots, Unmanned Aerial Vehicles (UAVs), and sensors. A database for data management and dissemination will be established. The software components include: (i) system framework software (e.g., low-level software that operates electro-mechanical systems, i.e., robots, UAVs, etc.), (ii) software for planning, control, sensing, and learning algorithms, (iii) software for demon-stration testbeds and prototypes. The data retention period is five years after the conclusion of the award. The data will be released as it becomes available to the http://rosehubiucrc.github.io site.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.

国家科学基金会工业/大学合作研究中心（I/UCRC）机器人和传感器用于人类福祉（rosehub）第二阶段将在培育和加速机器人和智能传感器技术在国民经济关键的广泛应用领域的部署方面发挥领导作用，例如运输，能源，物流，制造和基础设施以及社会福祉，例如医疗保健。ROSE-HUB中心将促进中心大学的研究人员与来自工业界、政府、其他大学和非营利组织的合作伙伴合作，寻求解决关键现实挑战的解决方案。明尼苏达大学的ROSE-HUB中心将以最近的人工智能/机器学习突破为基础，开发带有嵌入式传感器的系统和机器人，以增强自主和智能。特别是，它将专注于农业（最大化产量和保护环境）、医疗（探索精神障碍和独立生活）、建筑（数字化和评估工作进度）领域的大规模数据生成，以及具有独特移动性和能耗特性的创新无人机机器人设计。该项目准备催化大胆的想法，推动国家在上述应用领域取得新的技术进步。中心的研究将集中在包括身体/心理健康、机器人和传感器系统以协助人类、创新的机器人设计监测和数据收集、精准农业、建筑过程数字化、智能交通系统等应用。研究将影响：a)工业成员通过将研究插入到产品管道中，b)研究人员通过探索新的想法和应用领域，c)学生通过提供实践经验和未来的就业潜力，d)学术课程。此外，每年的技术日将吸引来自弱势群体的中学生进入工程领域，而面向当地K-16机构的拓展计划将鼓励他们接受工程教育。该项目将创建硬件和软件，并从固定和移动机器人、无人驾驶飞行器（uav）和传感器收集实验数据。将建立一个数据管理和传播数据库。软件组件包括：(i)系统框架软件（例如，操作机电系统的低级软件，即机器人，无人机等），（ii）规划，控制，传感和学习算法的软件，（iii）演示试验台和原型的软件。数据保存期为奖励结束后5年。这些数据将在http://rosehubiucrc.github.io站点可用时发布。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Learning Log-Determinant Divergences for Positive Definite Matrices

• DOI: 10.1109/tpami.2021.3073588
• 发表时间: 2021-04
• 期刊: IEEE Transactions on Pattern Analysis and Machine Intelligence
• 影响因子: 23.6
• 作者: A. Cherian;P. Stanitsas;Jue Wang;Mehrtash Harandi;V. Morellas;N. Papanikolopoulos

Robotic Embodiment of Human-Like Motor Skills via Reinforcement Learning

通过强化学习实现类人运动技能的机器人

• DOI: 10.1109/lra.2022.3147453
• 发表时间: 2022
• 期刊: IEEE Robotics and Automation Letters
• 影响因子: 5.2
• 作者: Guzman, Luis;Morellas, Vassilios;Papanikolopoulos, Nikolaos
• 通讯作者: Papanikolopoulos, Nikolaos