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.

拟议的用于人类福祉的机器人和传感器的I/UCRC（RoseHub）将着重于使用智能处理软件来补充各种各样的自我传感器，使他们能够提取有关医学和农业运营环境的有用信息。 RoseHub的研究将大量使用可以在电磁频谱（即可见，IR，热量等），激光或雷达传感器等的不同部位工作的商用相机。传感器或传感器系统可能表现出不同程度的迁移率。它们可以嵌入机器人或飞行无人机中，或者可以用有限的运动程度固定（PTZ摄像机）。在算法和学习方法领域，重点和挑战是创建可以平衡实时操作和计算能力的方法，同时为人类操作员提供高级语义信息，以计划，互动或情境意识。关于机器人，努力将集中在具有先进的机动性，操纵，人机相互作用和协调技能的建筑系统上。运营机构和传感器可以导致更有效的精确农业技术，这些技术在节省水并防止水土侵蚀的过程中提供的食物比当前水平更多。同样，从培训下一代医生，牙医和护士到在痴呆症的早期阶段，安慰和保护老年患者，机器人在现代医学中发挥着至关重要的作用。拟议的中心将通过研究和生产具有基于感觉的机器人系统的高级课程的高级课程，并动手实现多学科，综合系统的高级课程来吸引大型公司进入相关领域并为创新的创业公司提供动力。该中心还将资助一个项目，以寻求新的相关高风险计划，以确保技术继续满足新兴的社会需求。 RoseHub教职员工将积极招募妇女和少数民族毕业生和本科生，并为来自代表性不足的团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

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

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