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

• 批准号: 2129113
• 负责人: Hongsheng He
• 金额: $ 15万
• 依托单位: Wichita State University
• 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
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129113&HistoricalAwards=false
• 关键词: FW; HTF; Human; Agent; Teaming

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.

这个人类技术前沿的未来工作：核心研究规划项目的愿景是将数字工作空间的好处带到航空航天行业的劳动密集型任务中。人工-代理协作带来了在全人类或全数字工作空间中不存在的重大挑战。这项研究将建立在自然语言处理、人类-机器人协作、人工智能(AI)、控制工程、数据分析、统计和社区教育方面的成果，以建立创新的人-代理合作框架的可行性，用于飞机制造。目标是一个全面和集成的环境，在这个环境中，人类工人和管理人员，机器人和人工智能，将合作沟通，设定目标，计划任务，做出决定，并解决问题。该项目将通过支持员工团队、数据分析、可视化、验证和通信来应对质量控制、风险缓解和劳动力管理方面的挑战。在这种情况下，流程自动化、人工智能和机器人技术将解放人类工人，让他们专注于高价值和创造性的任务。对工人和雇主的好处包括减轻工作强度、提高制造工作质量和将安全风险降至最低。研究成果将提高飞机制造业的生产率和竞争力。通过不强调具体的物质要求，该项目可以创造新的就业机会，并增加就业公平、可获得性和包容性。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、视觉信息学、物理交互和增强以及相互理解的整体框架来培育制造业中的人-代理团队理论。这项研究还将通过解决未来制造工作在工作管理和分析方面的挑战来促进知识的发展。具体地说，本项目1)研究了人-代理人合作框架的可行性，该框架为数字工人和人类工人在航空航天制造环境中高效和安全地协作建立了精神和身体上的联系；2)通过实施综合劳动力管理，弥合了未来制造业在劳动力管理、质量控制和业务建模方面的知识鸿沟；3)进行调查、收集数据和举办研讨会，以收集有关关键工人和管理技能以及新工作模式所需培训的信息。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

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

• 发表时间: 2023
• 期刊: International Conference on Social Robotics
• 作者: Tran, Dang;Li, Hui;He, Hongsheng
• 通讯作者: He, Hongsheng

Touch detection in augmented Omni-surface for human-robot teaming

• DOI: 10.62704/10057/24828
• 发表时间: 2022-12
• 期刊: Journal of Management and Engineering Integration
• 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

• 发表时间: 2021
• 期刊: International Conference on Social Robotics
• 作者: Yan, Fujian;Namboodiri, Vinod;He, Hongsheng
• 通讯作者: He, Hongsheng

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

• DOI: 10.1109/iros51168.2021.9635939
• 发表时间: 2021
• 期刊: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
• 作者: Yan, Fujian;Wang, Dali;He, Hongsheng
• 通讯作者: He, Hongsheng

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

• 发表时间: 2022
• 期刊: Journal of management engineering integration
• 作者: Delgado, Pablo;Yihun, Yimesker S.;Vangsness, Lisa;He, Hongsheng
• 通讯作者: He, Hongsheng