课题基金 / 基金详情

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

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
批准号:
2026574
负责人:
Youngjib Ham
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
项目状态:
已结题
起止时间:
2021-01-01 至 2024-12-31

项目摘要

项目成果

Youngjib Ham的其他基金

相似基金

相关文献

中文摘要
翻译
这项人类技术前沿(FW-HTF)研究项目的未来工作将推进“智能建筑”学科的基础知识。建筑是一个工作领域,当工人被要求同时处理多个感官刺激时,他们经常会遇到认知“数据过载”的问题。视觉刺激对选择性注意力资源提出了很高的要求,这限制了每个额外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——一种触电警报系统,该系统可以向挖掘机操作员发出关于未见掩埋危险的位置/邻近的警报。挖掘机操作员在被掩埋的公用设施周围工作时面临着严重的风险,包括破坏公用设施线路的风险,这可能给社会带来昂贵的后果,例如中断基本服务,严重伤害甚至死亡。然而,之前降低事故可能性的努力主要集中在通过视觉显示向工人提供额外的信息上,这可能会导致认知上的“数据过载”,从而降低工作表现,增加工作压力。此外,工人们往往不愿意采用新技术。该项目将通过以用户为中心的电触觉系统的开发来促进科学的进步和国家的繁荣,该系统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。该项目的研究结果对减少对社会运作至关重要的关键基础设施系统的挖掘破坏具有重要意义。多学科方法将有助于扩大参与的学生,包括妇女和少数民族学生的职业发展机会。该项目将直接让建筑工人参与一组四项任务,这些任务旨在通过可以提供埋藏危险的直观空间数据的技术来提高挖掘机操作员的空间意识。该项目计划采用专有的挖掘机传感器技术,可以定位地下目标,以及电触觉操作人员显示技术,可以将这些数据传达给工作人员。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。第二项任务是开发远程机器人控制框架,为操作员提供埋藏设施的直观实时反馈,以增强对这些危险的空间意识。第三个是在虚拟现实环境中测试补充反馈系统,而第四个是在现实世界的测试平台中测试系统。此外,该研究承诺为技术采用政策提供一个框架,详细说明将新技术引入新兴社会技术领域的风险和收益,在新兴社会技术领域,工人面临着分阶段采用技术的挑战,以及不同任务和不同工作环境之间界面配置的不一致性。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
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
DOI: 10.22260/icra2022/0017
发表时间: 2022
期刊: The 2022 International Conference on Robotics and Automation (ICRA
影响因子: --
作者: [Lee, Jin Sol, Ham, Youngjib]
通讯作者: Ham, Youngjib
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: Automation in Construction
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
DOI: 10.22260/icra2022/0016
发表时间: 2022
期刊: The 2022 International Conference on Robotics and Automation (ICRA
影响因子: --
作者: [Liu, Di, Ham, Youngjib, Kim, Jeonghee, Park, Hangue]
通讯作者: Park, Hangue
Exploring Human-Machine Interfaces for Teleoperation of Excavator
探索挖掘机远程操作的人机界面
DOI: 10.1061/9780784483961.079
发表时间: 2022
期刊: ASCE Construction Research Congress 2022
影响因子: --
作者: [Lee, Jin Sol, Ham, Youngjib]
通讯作者: Ham, Youngjib
共 6 条
    NRI: Human-Robot Interface for Extraterrestrial Construction
    • 批准号:
      2221436
    • 项目类别:
      Standard Grant
    • 资助金额:
      $90.0万
    • 财政年份:
      2023
    • 负责人:
      Youngjib Ham
    • 依托单位:
    Collaborative Research: Improving Undergraduate Education in Civil & Building Engineering through Student-centric Cyber-Physical Systems and Real-world Problems
    • 批准号:
      2021342
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2020
    • 负责人:
      Youngjib Ham
    • 依托单位:
    I-Corps: Artificial Intelligence-Driven Disaster Risk Prediction and Assessment
    • 批准号:
      2037607
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.0万
    • 财政年份:
      2020
    • 负责人:
      Youngjib Ham
    • 依托单位:
    Uncovering Potential Risks of Wind-induced Cascading Damages to Construction Projects and Neighboring Communities
    • 批准号:
      1832187
    • 项目类别:
      Standard Grant
    • 资助金额:
      $34.45万
    • 财政年份:
      2018
    • 负责人:
      Youngjib Ham
    • 依托单位:
    国内基金
    海外基金
    转HTFα对脊髓继发性损伤和微循环重建的影响
    • 批准号:
      39970755
    • 项目类别:
      面上项目
    • 资助金额:
      13.0万元
    • 批准年份:
      1999
    • 负责人:
      毛伯镛
    • 依托单位: