课题基金 / 基金详情

PHASE II IUCRC Clemson University: Center for Robots and Sensors for Human Well-Being

PHASE II IUCRC Clemson University: Center for Robots and Sensors for Human Well-Being
第二阶段 IUCRC 克莱姆森大学:促进人类福祉的机器人和传感器中心
批准号:
1939058
负责人:
Venkat Krovi
金额:
$50.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-03-15 至 2024-03-31

项目摘要

项目成果

Venkat Krovi的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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 research efforts at the Clemson site focus on exploring the integration, deployment and validation of Connected Autonomy paradigm in networked real-time robotics and automation systems-of-systems. This new generation of distributed intelligent robotic systems build upon recent advances in AI-enhanced perceptual processing and low-latency real-time wireless communications within the real-time sense-think-act robotics paradigm. Tangible embodiment into integrative use-cases and domain-customization remain crucial for success with edge- and cloud-based autonomy systems. To this end, we will focus both on process-improvement evaluations as well as creation of exemplar demonstrators for the advanced manufacturing, agribusiness, automotive, and logistics verticals. 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. Research will impact: a) industrial members by inserting research into product pipelines, b) researchers 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 engineering, and outreach programs to local K-16 institutions will encourage pursuit of engineering education. The project will create hardware and software and collect experimental data from fixed and mobile robots, Unmanned Aerial Vehicles (UAVs), and sensors. A data management and dissemination framework 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 the planning, control, sensing, and learning algorithms, (iii) software for demonstration 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.
期刊论文(23)
专著(0)
科研奖励(0)
会议论文
Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem
使用 AutoDRIVE 生态系统实现自主算法的 Sim2Real 迁移
DOI: 10.1016/j.ifacol.2023.12.037
发表时间: 2023
期刊: IFAC-PapersOnLine
影响因子: --
作者: [Samak, Chinmay, Samak, Tanmay, Krovi, Venkat]
通讯作者: Krovi, Venkat
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
基于视觉的轨迹跟踪深度学习技术的虚拟评估
DOI: 10.4271/2022-01-0369
发表时间: 2022
期刊: SAE Technical Paper Series
影响因子: --
作者: [Salvi, Ameya, Buzhardt, Jake, Tallapragda, Phanindra, Krovi, Venkat N, Smereka, Jonathon M., Brudnak, Mark]
通讯作者: Brudnak, Mark
Adaptive and Reference Shaping Control for Steer-By-Wire Vehicles in High-Speed Maneuvers
高速机动中线控转向车辆的自适应和参考整形控制
DOI: 10.1016/j.ifacol.2021.11.170
发表时间: 2021
期刊: IFAC-PapersOnLine
影响因子: --
作者: [Srinivasan, Srivatsan, Schmid, Matthias J., Krovi, Venkat]
通讯作者: Krovi, Venkat
AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education
AutoDRIVE:用于自动驾驶研究的全面、灵活、集成的数字孪生生态系统
DOI: 10.3390/robotics12030077
发表时间: 2023
期刊: Robotics
影响因子: 3.7
作者: [Samak, Tanmay, Samak, Chinmay, Kandhasamy, Sivanathan, Krovi, Venkat, Xie, Ming]
通讯作者: Xie, Ming
22
    CCRI: MEDIUM: Collaborative Research: F1/10 RACECAR: Community Platforms for Safe, Secure and Coordinated Autonomy
    • 批准号:
      1925500
    • 项目类别:
      Standard Grant
    • 资助金额:
      $33.9万
    • 财政年份:
      2019
    • 负责人:
      Venkat Krovi
    • 依托单位:
    RI: Small: Dynamic Payload Transport and Manipulation by Teams of Cooperating Mobile Robotic-Cranes
    • 批准号:
      1710898
    • 项目类别:
      Standard Grant
    • 资助金额:
      $18.45万
    • 财政年份:
      2016
    • 负责人:
      Venkat Krovi
    • 依托单位:
    RI: Small: Dynamic Payload Transport and Manipulation by Teams of Cooperating Mobile Robotic-Cranes
    • 批准号:
      1319084
    • 项目类别:
      Standard Grant
    • 资助金额:
      $45.0万
    • 财政年份:
      2013
    • 负责人:
      Venkat Krovi
    • 依托单位:
    CAREER: Generalized Image Understanding with Probabilistic Ontologies and Dynamic Adaptive Graph Hierarchies
    • 批准号:
      0845282
    • 项目类别:
      Standard Grant
    • 资助金额:
      $53.91万
    • 财政年份:
      2009
    • 负责人:
      Venkat Krovi
    • 依托单位:
    国内基金
    海外基金
    基于生境成像与深度学习联合临床特征构建II型卵巢癌术前淋巴结转移预测模型的研究
    鸡软骨非变性II型胶原高效制备和靶向递送的关键技术开发与应用示范
    青蒿琥酯协同TROP2/线粒体级联靶向的NIR-II多模态诊疗用于晚期TNBC精准诊断与治疗的机制研究
    • 批准号:
      2026JJ30126
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      杨沙
    • 依托单位:
    苏合颗粒治疗慢性萎缩性胃炎的临床(II期)评价关键技术研究