FW-HTF-P: Human-Agent Teaming for the Future of Work in Aircraft Manufacturing

FW-HTF-P:飞机制造行业未来工作的人类代理团队

基本信息

  • 批准号:
    2129113
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-01-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The vision of this Future of Work at the Human-Technology Frontier: Core Research planning project is to bring the benefits of a digital workspace to labor-intensive tasks in the aerospace industry. Human-agent teaming presents substantial challenges that are not present in all-human or all-digital workspaces. The research will build upon results in natural-language processing, human-robot collaboration, artificial intelligence (AI), control engineering, data analytics, statistics, and community education to establish the feasibility of an innovative human-agent teaming framework for aircraft manufacturing. The goal is a comprehensive and integrated environment in which human workers and managers, robots and AIs, will cooperatively communicate, set goals, plan tasks, make decisions, and solve problems. The project will address challenges in quality control, risk mitigation, and workforce management via support for worker teaming, data analytics, visualization, verification, and communication. In this setting, process automation, AI, and robotics will free human workers to concentrate on high-value and creative tasks. Benefits to workers and employers include lightened work intensity, improved quality of manufacturing work, and minimization of safety risks. The research results will improve the productivity and competitiveness of the aircraft manufacturing industry. By deemphasizing specific physical requirements, the project could create new job opportunities and increase employment equity, accessibility, and inclusion. The project addresses the technical and managerial barriers obstructing the integration of human workers into the future digital workspace, specifically in the context of aerospace manufacturing. The research will cultivate the theory of human-agent teaming in manufacturing by designing a holistic framework of natural-language communication, visual informatics, physical interaction and augmentation, and mutual understanding. The research will also advance knowledge by addressing the challenges in work management and analytics derived from future manufacturing work. Specifically, this project 1) examines the feasibility of a human-agent teaming framework that establishes mental and physical bindings for digital workers and human workers to collaborate efficiently and safely in the context of aerospace manufacturing; 2) bridges the knowledge gap in workforce management, quality control, and business modeling for future manufacturing industry, founded on a hybrid workforce through the implementation of integrated workforce management; and 3) conducts surveys, collects data, and holds workshops to gather information about the critical worker and managerial skills and training required by the new work paradigm.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.
在人类技术领域的这一工作未来的愿景:核心研究计划项目是将数字工作空间的好处带入航空航天行业的劳动密集型任务。人类代理团队提出了全人类或全数字工作区中不存在的重大挑战。这项研究将基于自然语言处理,人类机器人协作,艺术智能(AI),控制工程,数据分析,统计和社区教育的结果,以确定飞机制造创新的人类代理团队框架的可行性。该目标是一个全面而综合的环境,在该环境中,人类工人和经理,机器人和AIS将协调,设定目标,计划任务,做出决定并解决问题。该项目将通过支持工​​人组合,数据分析,可视化,验证和沟通来解决质量控制,降低风险和劳动力管理方面的挑战。在这种情况下,过程自动化,AI和机器人技术将使人类工人专注于高价值和创造性的任务。对工人和员工的好处包括减轻工作强度,改善制造业质量以及安全风险的最小化。研究结果将提高飞机制造业的生产力和竞争力。通过指出特定的身体要求,该项目可以创造新的工作机会,并增加就业权益,可及性和包容性。该项目解决了阻碍人类工人融入未来数字工作空间的技术和管理障碍,特别是在航空航天制造的背景下。这项研究将通过设计自然语言交流,视觉信息,身体互动和增强和相互理解的整体框架来培养制造中的人类代理团队理论。研究还将通过解决未来制造工作的工作管理和分析方面的挑战来提高知识。具体而言,该项目1)研究了人类代理团队框架的可行性,该框架为数字工人和人工工人建立了身心绑定,以在航空航天制造的背景下有效,安全地合作; 2)弥合劳动力管理,质量控制和业务建模的知识差距;通过实施综合劳动力管理,建立在混合劳动力的基础上; 3)进行调查,收集数据并举办研讨会,以收集有关新工作Paradigm.M. M.要求的关键工人以及管理技能和培训的信息。该奖项反映了NSF的法定任务,并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得的支持。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
AI Planning from Natural-Language Instructions for Trustworthy Human-Robot Communication
根据自然语言指令进行人工智能规划,实现可信赖的人机通信
Touch detection in augmented Omni-surface for human-robot teaming
  • DOI:
    10.62704/10057/24828
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Fujian Yan;Edgar Chavez;Yimesker Yihun;Hongsheng He
  • 通讯作者:
    Fujian Yan;Edgar Chavez;Yimesker Yihun;Hongsheng He
Common Reality: An Interface of Human-Robot Communication and Mutual Understanding
共同现实:人机交流和相互理解的界面
Comprehension of Spatial Constraints by Neural Logic Learning from a Single RGB-D Scan
通过单次 RGB-D 扫描的神经逻辑学习理解空间约束
Integration of instance-based learning and computed torque control for an effective assist-as-needed support in human-exoskeleton interaction
基于实例的学习和计算扭矩控制的集成,可在人机交互中提供有效的按需辅助支持
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Hongsheng He其他文献

Face Recognition Using ALLE and SIFT for Human Robot Interaction
使用 ALLE 和 SIFT 进行人机交互的人脸识别
  • DOI:
    10.1007/978-3-642-03983-6_9
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yaozhang Pan;S. Ge;Hongsheng He
  • 通讯作者:
    Hongsheng He
用于生态系统仿真的数据合成方法
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Hongsheng He;Dali Wang;Yang Xu;Jindong Tan
  • 通讯作者:
    Jindong Tan
Real-time face detection for human robot interaction
人机交互的实时人脸检测
Semantics Comprehension of Entities in Dictionary Corpora for Robot Scene Understanding
机器人场景理解词典语料库中实体的语义理解
  • DOI:
    10.1007/978-3-030-05204-1_35
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Fujian Yan;Yinlong Zhang;Hongsheng He
  • 通讯作者:
    Hongsheng He
基于惯性辅助的光流的相对速度估计
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Hongsheng He;Yan Li;Jindong Tan
  • 通讯作者:
    Jindong Tan

Hongsheng He的其他文献

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{{ truncateString('Hongsheng He', 18)}}的其他基金

RII Track-4: NSF: Enabling Synergistic Multi-Robot Cooperation for Mobile Manipulation Beyond Individual Robotic Capabilities
RII Track-4:NSF:实现协同多机器人合作,实现超越单个机器人能力的移动操作
  • 批准号:
    2327313
  • 财政年份:
    2024
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
CAREER: Context-Aware Task-Oriented Dexterous Robotic Manipulation
职业:上下文感知、任务导向的灵巧机器人操作
  • 批准号:
    2239540
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
I-Corps: A Smart Context-Aware Multi-Fingered System for Dexterous Grasping
I-Corps:智能上下文感知多指系统,用于灵巧抓取
  • 批准号:
    2402466
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
CAREER: Context-Aware Task-Oriented Dexterous Robotic Manipulation
职业:上下文感知、任务导向的灵巧机器人操作
  • 批准号:
    2420355
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Continuing Grant
I-Corps: A Smart Context-Aware Multi-Fingered System for Dexterous Grasping
I-Corps:智能上下文感知多指系统,用于灵巧抓取
  • 批准号:
    2211149
  • 财政年份:
    2022
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant

相似国自然基金

转HTFα对脊髓继发性损伤和微循环重建的影响
  • 批准号:
    39970755
  • 批准年份:
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FW-HTF-RL: Success via a Human-Assistive Wearable Technology Partnership Fostering Neurodiverse Individuals' Work Success via an Assistive Wearable Technology
FW-HTF-RL:通过人类辅助可穿戴技术合作伙伴关系取得成功通过辅助可穿戴技术促进神经多样性个体的工作成功
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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
  • 批准号:
    2326160
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    2326159
  • 财政年份:
    2023
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
FW-HTF-P: Adapting to the Future of Robotic Surgery: Understanding Training and Design Environments for Human-Robot Teams
FW-HTF-P:适应机器人手术的未来:了解人机团队的培训和设计环境
  • 批准号:
    2222806
  • 财政年份:
    2022
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
Collaborative Research: FW-HTF-P: Efficient Inspection of Unpiggable Pipelines through Human-Robot Integration
合作研究:FW-HTF-P:通过人机集成有效检查不可清管的管道
  • 批准号:
    2222816
  • 财政年份:
    2022
  • 资助金额:
    $ 15万
  • 项目类别:
    Standard Grant
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