FMSG: Internet of People and Things Bridging manual to semiautomated processes through Cybermanufacturing Collaborative Intelligence

摘要该项目支持基础研究，以理解随着越来越智能的自主代理的引入，人类在制造业中的角色将如何演变，以及辅助技术的哪些特征对于提供人类和人工智能系统之间最有效的协作关系是重要的。这项研究的应用不仅有助于降低成本，提高在技术环境中设计和制造的零件的质量，而且还将探索人类与人工系统互动的社会学，从而进一步提高人类在工作中的目的性和满足感。该项目通过促进未来制造系统的价值创造，促进相互依存的科学进步，促进国家繁荣和福利。此外，这项工作还包括一项扩大代表性不足群体参与科学研究的计划，通过社交媒体和点对点网络，以及国家GEM联盟和克莱姆森女性科学与工程（WISE）项目等正式项目，针对少数族裔和女性候选人开展一系列有针对性的招聘活动。这个项目的目标是模拟人类和人工智能代理系统在制造业中的协作强度，并衡量辅助技术对制造业协作的影响。随着制造业供应链的发展，从一个连续的部件组成一个组装，到更现代的专业模块构建者网络，组织间和组织内协作的作用在其对生产力和盈利能力的影响方面已经大大增强。考虑到新的智能规划、自动化和生产系统的出现，提出建议的团队推测，协作的强度将保持其对积极制造结果的影响，并且可以通过人类参与的辅助技术产生重大影响。项目成果对未来制造业在整个供应链中向人工智能实施的过渡以及人类在制造业中的持久存在具有重要意义；两者必须协调一致。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。

AbstractThis project supports fundamental research in understanding how human roles in manufacturing will evolve with the introduction of increasingly intelligent autonomous agents and what characteristics of assistive technology are important to provide the most effective collaborative relationship between humans and artificial intelligence systems. Application of this research will not only help reduce costs and improve quality for parts designed and manufactured in technical environments but will also explore the sociology of human interaction with artificial systems in ways that further human purposefulness and fulfillment in work. This project promotes the progress of interdependent science and advances national prosperity and welfare through facilitating value creating in future manufacturing systems. Additionally, this work includes a plan for broadening participation of underrepresented groups in scientific research by a targeted set of recruiting activities toward minority and female candidates through social media and peer-to-peer networks, as well as formal programs such as the National GEM consortium and Clemson's Women in Science and Engineering (WISE) programs.The objectives of this project are to model collaboration strength in manufacturing among systems of people and artificial intelligence agents and to measure assistive technologies’ influence on manufacturing collaboration. As the manufacturing supply chain has grown from a progression of sequential parts creating an assembly to more modern networks of specialized module builders, the role of interorganizational and intraorganizational collaboration has grown immensely in its influence on productivity and profitability. Considering the advent of new intelligent planning, automation, and production systems, the proposing team conjectures that the strength of collaboration will retain its influence on positive manufacturing outcomes and can be affected significantly by assistive technologies for human participation. The project outcomes have important implications for future manufacturing in regard to the transition to artificial intelligence implementation throughout the supply chain, and lasting human presence in manufacturing; both of which must work in harmony.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.