FW-HTF-R: US-Ireland R&D Partnership: ARISE: Assembly and Robotics Innovation in Steel Building Erection

FW-HTF-R: 美国-爱尔兰 R

基本信息

批准号：
2222815
负责人：
Debra Laefer
金额：
$ 180万
依托单位：
New York 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：
2022-11-01 至 2025-10-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2222815&HistoricalAwards=false
关键词：
FW HTF US Ireland R&amp

项目摘要

This Future of Work at the Human-Technology Frontier Research (FW-HTF-R) grant will promote science and national health, prosperity and welfare by considering the Intermeshed Steel Connection (ISC) as new quick, snap together connection to construct buildings with the existing work force and possibly on-site robotics. The research unites micro-economists, robotics experts, and computer scientists with structural engineers and site-safety leaders in the United States, Northern Ireland, and the Republic of Ireland. This tri-partite team will consider the introduction of a new structural steel connection through the multiple lenses of design, manufacturing, distribution, erection, and performance with respect to cost, safety, schedule, and sustainability metrics. The project critically considers two seminal questions: “What are the technical and human prerequisites and optimal conditions for automation of structural steel assembly in the field?” and “What is the best market entry point for such a disruptive connection?”, in light of the fundamental mismatch between the decision makers, the payees, and the beneficiaries in most large construction projects. Finally, this activity offers an innovative outreach program with broad-based technical dissemination through webinars and workshops, and educational outreach for K-12 students by means of national-level, student competitions.This grant seeks to reap the benefits from advanced manufacturing, robotic assembly, and artificial intelligence (AI) for on-site steel building erection. Automating robotic site erection requires a rethinking of educational and training systems, technology dependence, and safety due to the closer proximity and interactions between humans and machines. The micro-economics behind this new connection and erection approach will also need to be rethought with respect to economies of scale and needed skills. This will be done by developing a quantitative model of technology adoption and diffusion; identifying educational, economic, and technical needs in the structural steel sector; creating accurate, validated numerical models that characterize the non-linear behavior of ISC column-to-column connections under various load combinations; developing a knowledge base on ISC connection design and performance, including physical data for column-to-column connections; evaluating performance using a full-size building testbed; documenting safety, ergonomics, and productivity factors observed through multiple assembly and disassembly of full-size frames; identifying viable routes to on-site construction automation including the influence of high erection tolerances and use of autonomous robots equipped with cameras and AI-based perception; and using virtual reality and augmented reality to develop Computer Vision and AI training to control a Robotic Manipulator.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.

人类技术边界研究（FW-HTF-R）赠款的这一工作未来将通过考虑新的快速钢连接（ISC）来促进科学和国家健康，繁荣和福利，因为新的快速快速，迅速地将建造建筑物与现有的劳动力建造建筑物，并可能在现场机器人机器人方面进行建造。该研究部门的微观经济学家，机器人专家和计算机科学家与美国，北爱尔兰和爱尔兰的结构工程师和现场安全领导者。这个三方团队将考虑成本，安全性，时间表和可持续性指标的设计，制造，分销，选举和性能的多个镜头来引入新的结构钢连接。该项目严格考虑了两个半问题：“该领域结构钢组装自动化的技术和人类先决条件和最佳条件是什么？”鉴于决策者，收款人和大多数大型建筑项目中的良好关系之间的根本不匹配，“这种破坏性联系的最佳市场入口点是什么？”。最后，这项活动提供了一项创新的外展计划，通过网络研讨会和研讨会，通过国家级别的学生竞赛为K-12学生提供广泛的技术传播，并为K-12学生提供教育宣传。这项格兰特旨在从先进的制造，机器人组装和人工智能（AI）中获得对现场钢铁建筑的高级制造，机器人组装和人工智能（AI）的收益。自动化机器人场地选举需要重新思考教育和培训系统，技术依赖和安全性，因为人类与机器之间的近距离和互动。这种新的联系和选举方法背后的微观经济学也将在规模经济和所需技能方面重新考虑。这将通过开发技术采用和扩散的定量模型来完成。确定结构钢铁部门的教育，经济和技术需求；创建精确，经过验证的数值模型，以表征在各种负载组合下ISC列连接的非线性行为；开发有关ISC连接设计和性能的知识基础，包括用于列连接的物理数据；使用全尺寸建筑测试台评估性能；记录通过多个组装和拆卸全尺寸框架观察到的安全性，人体工程学和生产力因素；识别有可行的途径到现场施工自动化，包括高洗脱公差的影响以及配备相机和基于AI的感知的自主机器人的使用；并利用虚拟现实并增强现实来开发计算机愿景和AI培训来控制机器人操纵器。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，通过评估诚实地认为通过评估。