FW-HTF-RM: The Future of Teleoperation in Construction Workplaces

FW-HTF-RM:建筑工作场所远程操作的未来

基本信息

  • 批准号:
    2026574
  • 负责人:
  • 金额:
    $ 138.06万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-01-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

This Future of Work at the Human-Technology Frontier (FW-HTF) research project will advance fundamental knowledge in the discipline of "smart construction". Construction is a work domain in which workers often struggle with the cognitive "data overload" problem that emerges when they are required to attend to multiple sensory stimuli at the same time. Visual stimuli place a high demand on selective attentional resources that limit the utility of each additional visual data display. The specific research objective of this project is to develop an alternative - an electrotactile warning system that alerts excavator operators about the location / proximity of unseen buried hazards. Excavator operators face serious risks when working around buried utilities, including the risk of damaging utility lines, which can result in costly consequences to society such as disrupting essential services, serious injuries, and even death. Whereas previous efforts to mitigate the likelihood of an accident have focused on providing additional information to workers via visual displays, this can cause a cognitive "data overload" that can reduce performance and increase stress at work. Further, workers are often resistant to adopting the new technology. This project will promote the progress of science and advance national prosperity through the user-centered development of an electrotactile system capable to augment excavator operator spatial awareness and performance in construction workplaces. The findings from this project have important implications for reducing excavation damage to critical infrastructure systems that are essential for the functioning of society. The multidisciplinary approach will help broaden career development opportunities for participating students, including women and minority students.This project will directly engage construction workers in a set of four tasks that seek to improve the spatial awareness of excavator operators using technology that can provide intuitive spatial data on buried hazards. The project plans proprietary excavator sensor technologies that can localize subterranean targets, as well as electrotactile operator display technologies that can communicate these data to the worker. The first task leverages user-centered design techniques to document task features, worker roles and needs, and risks associated with excavation work. The second task develops a telerobotic control framework that provides intuitive real-time feedback of buried utilities to operators for enhancing spatial awareness of those hazards. The third tests the supplemental feedback system in a virtual reality environment, while the fourth tests the system in real-world testbeds. In addition, the research promises to provide a framework for technology adoption policy, detailing the risks and benefits of introducing new technologies into emerging socio-technological landscapes where workers are challenged by phased adoption of technologies and inconsistencies in interface configurations between different tasks and different work environments.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.
这项未来人类技术前沿工作(FW-HTF)研究项目将推进“智能建筑”学科的基础知识。建筑是一个工作领域,工人经常与认知“数据过载”问题作斗争,当他们被要求同时关注多种感官刺激时,就会出现这种问题。视觉刺激对选择性注意资源提出了很高的要求,这限制了每个附加视觉数据显示的效用。该项目的具体研究目标是开发一种替代方案-电触觉警告系统,提醒挖掘机操作员关于看不见的潜在危险的位置/附近。挖掘机操作员在地下公用设施周围工作时面临严重风险,包括损坏公用设施线路的风险,这可能会对社会造成昂贵的后果,例如中断基本服务,严重伤害甚至死亡。虽然以前减轻事故可能性的努力集中在通过视觉显示器向工人提供额外的信息,但这可能导致认知“数据过载”,从而降低性能并增加工作压力。此外,工人往往抵制采用新技术。该项目将通过以用户为中心的开发能够增强挖掘机操作员在建筑工作场所的空间意识和表现的电触觉系统,促进科学进步和国家繁荣。该项目的研究结果对减少挖掘对社会运作必不可少的关键基础设施系统的破坏具有重要意义。多学科的方法将有助于扩大参与学生的职业发展机会,包括妇女和少数民族学生。该项目将直接让建筑工人参与一组四项任务,旨在提高挖掘机操作员的空间意识,使用技术,可以提供直观的空间数据,对潜在的危险。该项目计划专有挖掘机传感器技术,可以定位地下目标,以及电触觉操作员显示技术,可以将这些数据传达给工人。第一个任务利用以用户为中心的设计技术来记录任务特征、工人角色和需求以及与挖掘工作相关的风险。 第二个任务是开发一个远程机器人控制框架,为操作员提供直观的地下设施实时反馈,以提高对这些危险的空间意识。第三个测试在虚拟现实环境中的补充反馈系统,而第四个测试在现实世界的测试台系统。 此外,这项研究有望为技术采用政策提供一个框架,详细介绍了将新技术引入新兴社会的风险和好处,该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The effect of challenging work environment on human-robot interaction and cognitive load during teleoperation: a case study of teleoperated excavator in a virtual experiment
具有挑战性的工作环境对远程操作期间人机交互和认知负荷的影响:虚拟实验中远程操作挖掘机的案例研究
Multi-user immersive environment for excavator teleoperation in construction
施工中挖掘机远程操作的多用户沉浸式环境
  • DOI:
    10.1016/j.autcon.2023.105143
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    10.3
  • 作者:
    Liu, Di;Kim, Jeonghee;Ham, Youngjib
  • 通讯作者:
    Ham, Youngjib
Towards a Collaborative Future in Construction Robotics: A Human-centered Study in a Multi-user Immersive Operation and Communication System for Excavation
迈向建筑机器人的协作未来:以人为本的多用户沉浸式挖掘操作和通信系统研究
Exploring Human-Machine Interfaces for Teleoperation of Excavator
探索挖掘机远程操作的人机界面
Underground Metal Pipeline Localization Using Low-Cost Wireless Magnetic Sensors Mounted on an Excavator
  • DOI:
    10.1109/tie.2022.3159953
  • 发表时间:
    2022-10
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Jeonghee Kim;Youngjib Ham;Hangue Park
  • 通讯作者:
    Jeonghee Kim;Youngjib Ham;Hangue Park
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Youngjib Ham其他文献

Mapping Local Vulnerabilities into a 3D City Model through Social Sensing and the CAVE System toward Digital Twin City
通过社会感知和 CAVE 系统将本地脆弱性映射到 3D 城市模型中,迈向数字孪生城市
  • DOI:
    10.1061/9780784482445.058
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jaeyoon Kim;Hongjo Kim;Youngjib Ham
  • 通讯作者:
    Youngjib Ham
Automated Cost Analysis of Energy Loss in Existing Buildings through Thermographic Inspections and CFD Analysis
通过热成像检查和 CFD 分析对现有建筑物的能源损失进行自动成本分析
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Youngjib Ham;M. Golparvar
  • 通讯作者:
    M. Golparvar
Vision-Based Analysis of Utility Poles Using Drones and Digital Twin Modeling in the Context of Power Distribution Infrastructure Systems
在配电基础设施系统背景下使用无人机和数字孪生建模对电线杆进行基于视觉的分析
Revealing the Impact of Heat Radiation on Construction: A Microclimate Simulation Using Meteorological Data and Geometric Modeling
揭示热辐射对建筑的影响:利用气象数据和几何建模进行微气候模拟
Semantic Detection of Potential Wind-borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety
建筑工地潜在风载碎片的语义检测:用于飓风防备和工地安全的数字孪生
  • DOI:
    10.1061/9780784483893.111
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Kamari;Youngjib Ham
  • 通讯作者:
    Youngjib Ham

Youngjib Ham的其他文献

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{{ truncateString('Youngjib Ham', 18)}}的其他基金

NRI: Human-Robot Interface for Extraterrestrial Construction
NRI:用于外星建筑的人机界面
  • 批准号:
    2221436
  • 财政年份:
    2023
  • 资助金额:
    $ 138.06万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Undergraduate Education in Civil & Building Engineering through Student-centric Cyber-Physical Systems and Real-world Problems
合作研究:改善土木本科教育
  • 批准号:
    2021342
  • 财政年份:
    2020
  • 资助金额:
    $ 138.06万
  • 项目类别:
    Standard Grant
I-Corps: Artificial Intelligence-Driven Disaster Risk Prediction and Assessment
I-Corps:人工智能驱动的灾害风险预测和评估
  • 批准号:
    2037607
  • 财政年份:
    2020
  • 资助金额:
    $ 138.06万
  • 项目类别:
    Standard Grant
Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities
发现风致连锁损害对建设项目和邻近社区的潜在风险
  • 批准号:
    1832187
  • 财政年份:
    2018
  • 资助金额:
    $ 138.06万
  • 项目类别:
    Standard Grant
Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities
发现风致连锁损害对建设项目和邻近社区的潜在风险
  • 批准号:
    1635378
  • 财政年份:
    2017
  • 资助金额:
    $ 138.06万
  • 项目类别:
    Standard Grant

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  • 批准号:
    39970755
  • 批准年份:
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相似海外基金

Collaborative Research: FW-HTF-RM: Human-in-the-Lead Construction Robotics: Future-Proofing Framing Craft Workers in Industrialized Construction
合作研究:FW-HTF-RM:人类主导的建筑机器人:工业化建筑中面向未来的框架工艺工人
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Collaborative Research: FW-HTF-RM: Artificial Intelligence Technology for Future Music Performers
合作研究:FW-HTF-RM:未来音乐表演者的人工智能技术
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Collaborative Research: FW-HTF-RM: Human-in-the-Lead Construction Robotics: Future-Proofing Framing Craft Workers in Industrialized Construction
合作研究:FW-HTF-RM:人类主导的建筑机器人:工业化建筑中面向未来的框架工艺工人
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Collaborative Research [FW-HTF-RM]: The Future of Nurse Training: Robotic Teaching Assistant Systems for Nursing Instructors
协作研究 [FW-HTF-RM]:护士培训的未来:护理讲师的机器人助教系统
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FW-HTF-RM: Addressing and Amplifying the Skills of the Future Hispanic and Latino Construction Workforce Using BIM and Augmented Reality
FW-HTF-RM:使用 BIM 和增强现实解决和增强未来西班牙裔和拉丁裔建筑劳动力的技能
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Collaborative Research: FW-HTF-RM: AI-Assisted Programming: Equipping Social and Natural Scientists for the Future of Research
合作研究:FW-HTF-RM:人工智能辅助编程:为社会和自然科学家的未来研究做好准备
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  • 批准号:
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