I/UCRC Phase I: Robots and Sensors for the Human Well-being

I/UCRC 第一阶段：造福人类福祉的机器人和传感器

• 批准号: 1439695
• 负责人: Jing Xiao
• 金额: $ 32.5万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439695&HistoricalAwards=false
• 关键词: UCRC; Phase; Robots; Sensors; Human

The proposed I/UCRC for Robots and Sensors for the Human Well-being (RoSeHuB) will focus on complementing a broad variety of off-the-self sensors with intelligent processing software that enables them to extract useful information about the operating environments in medicine and agriculture. RoSeHuB research will make heavy use of commercial cameras that can work in different parts of the electro-magnetic spectrum (i.e., visible, IR, Thermal, etc.), laser or radar sensors, etc. Sensors or sensor systems may exhibit different degrees of mobility. They may be embedded in robots or flying drones or they may be fixed with limited degrees of motion (PTZ cameras). In the areas of algorithms and learning methods the focus and the challenge is on creating methodologies that can balance real-time operation and computational power while providing high level semantic information either for planning, interaction or situational awareness for human operators. With respect to robots, efforts will focus on building systems with advanced mobility, manipulation, human-machine interaction, and coordination skills.Robots and sensors can lead to more effective precision agriculture techniques that provide more food than current levels while they save water and prevent soil erosion. Similarly, robots play a critical and growing role in modern medicine, from training the next generation of doctors, dentists, and nurses, to comforting and protecting elderly patients in the early stages of dementia. The proposed Center will attract large companies to the pertinent domains and energize innovative startup companies, both through research and through the production of highly trained graduate students with advanced coursework in sensory-based robotic systems and hands-on exposure to multi-disciplinary, integrative systems. The Center will also fund a projects to pursue new pertinent high-risk initiatives, ensuring that technology continues to meet emerging societal needs. RoSeHuB faculty will aggressively recruit women and minority graduate and undergraduate students and host an annual summer camp for middle-schoolers from underrepresented groups.

拟议的机器人和人类福祉传感器I/UCRC（RoSeHuB）将专注于用智能处理软件补充各种各样的非自我传感器，使它们能够提取有关医学和农业操作环境的有用信息。RoSeHuB的研究将大量使用可以在电磁频谱的不同部分工作的商用相机（即，可见光、IR、热等），激光或雷达传感器等。传感器或传感器系统可以表现出不同程度的移动性。它们可以嵌入机器人或无人机中，也可以固定在有限的运动度（PTZ摄像机）中。在算法和学习方法领域，重点和挑战在于创建能够平衡实时操作和计算能力的方法，同时为人类操作员的规划，交互或态势感知提供高级语义信息。在机器人方面，将致力于构建具有先进移动性、操纵性、人机交互和协调技能的系统。机器人和传感器可以带来更有效的精准农业技术，在节约用水和防止土壤侵蚀的同时提供比目前水平更多的食物。同样，机器人在现代医学中发挥着越来越重要的作用，从培训下一代医生，牙医和护士，到安慰和保护早期痴呆症的老年患者。拟议的中心将吸引大公司到相关领域，并通过研究和通过生产训练有素的研究生与先进的课程，在基于传感器的机器人系统和动手接触到多学科，综合系统，激励创新的创业公司。该中心还将资助一个项目，以追求新的相关高风险举措，确保技术继续满足新兴的社会需求。Rosehub的教师将积极招募女性和少数民族研究生和本科生，并为代表性不足的群体的中学生举办年度夏令营。

项目成果

Simultaneous Optimization of Assignments and Goal Formations for Multiple Robots

• DOI: 10.1109/icra.2018.8460542
• 发表时间: 2018-05
• 期刊: 2018 IEEE International Conference on Robotics and Automation (ICRA)
• 作者: S. Agarwal;Srinivas Akella

Approximation Algorithms for the Single Robot Line Coverage Problem

单机器人线路覆盖问题的近似算法

• DOI: 10.1007/978-3-030-66723-8_32
• 发表时间: 2021
• 期刊: Algorithmic Foundations of Robotics XIV (WAFR 2020
• 作者: Agarwal, Saurav;Akella, Srinivas
• 通讯作者: Akella, Srinivas

Line Coverage with Multiple Robots

多个机器人的线路覆盖

• DOI: 10.1109/icra40945.2020.9197292
• 发表时间: 2020
• 期刊: IEEE International Conference on Robotics and Automation
• 作者: Agarwal, Saurav;Akella, Srinivas
• 通讯作者: Akella, Srinivas