FW-HTF-P: Collaborative Research: Wearable Safety and Health Assistive Robot Collaboration for Skilled Construction Workers
FW-HTF-P:合作研究:为熟练建筑工人提供可穿戴安全与健康辅助机器人协作
基本信息
- 批准号:2026575
- 负责人:
- 金额:$ 6万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this FW-HTF planning project is to build a synergistic team and provide symbiotic solutions to develop and deploy wearable safety and health assistive robots for skilled construction workers. Currently, construction workers suffer intense physical effort, and serious safety and health risk in hazardous working environments. As a result, construction industry becomes one of the highest-risk private sectors in the US. Shortage of skilled workers brings additional challenges and pressures to construction industry to improve workers' safety and health. Wearable robotic technology provides promising potentials to prevent work-related musculoskeletal disorders, assess and assist physical and fatigue, and learn and train worker skills in construction trades. The project will enable the development and deployment of personalized wearable assistive robot collaboration for skilled construction workers. The researchers will also develop a number of integrated research and education programs to attract students from underrepresented groups into engineering and involve undergraduate students into research.Although robotics technologies have been increasingly used in construction applications, most focus on the use of robots to help conduct construction tasks and few discusses the use of industrial exoskeletons for improving workers' safety and health. In this planning project, the team of researchers plan to build a synergistic team and identify potential topics and symbiotic solutions to achieve the above research goal. Specifically, this project will emphasize on: (1) develop light-weight, flexible, high-performance, personalized wearable exoskeletons for construction workers; (2) develop machine learning-based human skill modeling and training in construction, and (3) initiate new cross-disciplinary collaboration and foster engagement with industry partners and stakeholders. The proposed robotic development and pilot study will provide deep understanding of technical and socio-economic challenges for integrating robotic technologies into existing socio-technical ecosystems of work. The planning grant will also study the effects of the significant shifts in human work on individual, organization and industries with a focus specifically on construction work. The ultimate goal of this project is to develop the necessary research personnel, research infrastructure, and foundational work to expand the opportunities for studying future technology, future workers, and future work at the level of a FW-HTF full research proposal.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.
FW-HTF计划项目的研究目标是建立一个协同团队,并提供共生解决方案,为熟练的建筑工人开发和部署可穿戴安全和健康辅助机器人。目前,建筑工人在危险的工作环境中承受着巨大的体力劳动和严重的安全和健康风险。因此,建筑业成为美国风险最高的私营部门之一。熟练工人短缺为建造业带来额外的挑战和压力,以改善工人的安全和健康。可穿戴机器人技术为预防与工作相关的肌肉骨骼疾病、评估和帮助身体和疲劳以及学习和培训建筑行业工人的技能提供了有前途的潜力。该项目将为熟练的建筑工人开发和部署个性化的可穿戴辅助机器人协作。研究人员还将开发一些综合研究和教育项目,以吸引来自代表性不足的群体的学生进入工程领域,并让本科生参与研究。尽管机器人技术越来越多地用于建筑应用,但大多数都集中在使用机器人帮助执行建筑任务,很少讨论使用工业外骨骼来改善工人的安全和健康。在这个规划项目中,研究人员团队计划建立一个协同团队,并确定潜在的主题和共生解决方案,以实现上述研究目标。具体而言,该项目将侧重于:(1)为建筑工人开发重量轻、灵活、高性能、个性化的可穿戴外骨骼;(2)开发基于机器学习的建筑人类技能建模和培训;(3)启动新的跨学科合作,促进与行业合作伙伴和利益相关者的互动。拟议的机器人开发和试点研究将深入了解将机器人技术纳入现有社会技术工作生态系统的技术和社会经济挑战。规划补助金还将研究人类工作的重大转变对个人,组织和行业的影响,特别关注建筑工作。该项目的最终目标是培养必要的研究人员、研究基础设施和基础工作,以扩大在FW-HTF完整研究提案水平上研究未来技术、未来工作人员和未来工作的机会。该奖项反映了NSF的法定使命,并通过使用基金会的智力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
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
- DOI:10.1016/j.autcon.2021.103653
- 发表时间:2021-03-27
- 期刊:
- 影响因子:10.3
- 作者:Bangaru, Srikanth Sagar;Wang, Chao;Aghazadeh, Fereydoun
- 通讯作者:Aghazadeh, Fereydoun
Real-Time Walking Gait Estimation for Construction Workers using a Single Wearable Inertial Measurement Unit (IMU)
- DOI:10.1109/aim46487.2021.9517592
- 发表时间:2021-07
- 期刊:
- 影响因子:0
- 作者:Siyu Chen;Srikanth Sagar Bangaru;Tarik Yigit;M. Trkov;Chao Wang;J. Yi
- 通讯作者:Siyu Chen;Srikanth Sagar Bangaru;Tarik Yigit;M. Trkov;Chao Wang;J. Yi
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Chao Wang其他文献
Research Spotlight: Upconversion nanoparticles for potential cancer theranostics
研究聚焦:用于潜在癌症治疗诊断的上转换纳米粒子
- DOI:
10.4155/tde.11.93 - 发表时间:
2011 - 期刊:
- 影响因子:4.2
- 作者:
Chao Wang;Liang Cheng;Zhuang Liu - 通讯作者:
Zhuang Liu
Quantized image patches co-occurrence matrix: a new statistical approach for texture classification using image patch exemplars
量化图像块共生矩阵:一种使用图像块样本进行纹理分类的新统计方法
- DOI:
10.1117/12.896155 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Zhonghua Liu;Jingyan Wang;Yongping Li;Y. Zhang;Chao Wang - 通讯作者:
Chao Wang
Nicotine exacerbates endothelial dysfunction and drives atherosclerosis via extracellular vesicle-miRNA.
尼古丁会加剧内皮功能障碍,并通过细胞外囊泡-miRNA 驱动动脉粥样硬化。
- DOI:
10.1093/cvr/cvac140 - 发表时间:
2022 - 期刊:
- 影响因子:10.8
- 作者:
Chao Wang;Cong Liu;Jiaxin Shi;Hai;Shuangquan Jiang;Peng Zhao;Maomao Zhang;Guoqing Du;Shuai Fu;Shouqiang Li;Zhuo Wang;Xiaokun Wang;Fei Gao;Ping Sun;Jiawei Tian - 通讯作者:
Jiawei Tian
Robust maintenance of cell surface tension in mitosis by RhoA-driven myosin II mechanoresponse
RhoA 驱动的肌球蛋白 II 机械反应有力维持有丝分裂中的细胞表面张力
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Jin;Chao Wang;Q. Wei;Shoukang Du;X. Gong;T. Chew - 通讯作者:
T. Chew
Simulation Study on Breast Cancer Mapping Imaging
乳腺癌测绘成像模拟研究
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Chao Wang;Ya;Xin;Huaxiang Wang - 通讯作者:
Huaxiang Wang
Chao Wang的其他文献
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{{ truncateString('Chao Wang', 18)}}的其他基金
Collaborative Research: FW-HTF-R: Wearable Safety Sensing and Assistive Robot-Worker Collaboration for an Augmented Workforce in Construction
合作研究:FW-HTF-R:可穿戴安全传感和辅助机器人工人协作,增强建筑劳动力
- 批准号:
2222881 - 财政年份:2022
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Collaborative Research: FMitF: Track I: A Principled Approach to Modeling and Analysis of Hardware Fault Attacks on Embedded Software
合作研究:FMitF:第一轨:嵌入式软件硬件故障攻击建模和分析的原则方法
- 批准号:
2220345 - 财政年份:2022
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
NSF-BSF: Synchronous electro-optical DNA detection using low-noise dielectric nanopores on sapphire
NSF-BSF:使用蓝宝石上的低噪声介电纳米孔进行同步电光 DNA 检测
- 批准号:
2020464 - 财政年份:2020
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Photochemically Induced, Polymer-Assisted Deposition for 3D Printing of Micrometer-Wide and Nanometer-Thin Silver Structures
用于微米宽和纳米薄银结构 3D 打印的光化学诱导聚合物辅助沉积
- 批准号:
1947753 - 财政年份:2020
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
CAREER: Integrated Optofluidic Chips towards Label-Free Detection of Exosomal MicroRNA Biomarkers
职业:集成光流控芯片实现外泌体 MicroRNA 生物标志物的无标记检测
- 批准号:
1847324 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Low-Profile Ultra-Wideband Wide-Scanning Multi-Function Beam-Steerable Array Antennas
薄型超宽带宽扫描多功能波束可控阵列天线
- 批准号:
EP/S005625/1 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Research Grant
Enhancing CO2 Reduction by Controlling the Ensemble of Active Sites
通过控制活动站点的整体来加强二氧化碳减排
- 批准号:
1930013 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Interplay of Mass Transport and Chemical Kinetics in the Electroreduction CO2
电还原 CO2 中传质与化学动力学的相互作用
- 批准号:
1803482 - 财政年份:2018
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
CSR: Small: Collaborative Research: Safety Guard: A Formal Approach to Safety Enforcement in Embedded Control Systems
CSR:小型:协作研究:安全卫士:嵌入式控制系统中安全执行的正式方法
- 批准号:
1813117 - 财政年份:2018
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
INFEWS N/P/H2O: Collaborative Research: Catalytic Dephosphorylation Using Ceria Nanocrystals
INFEWS N/P/H2O:合作研究:使用二氧化铈纳米晶体催化脱磷酸
- 批准号:
1664967 - 财政年份:2017
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
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