FW-HTF-P: Interactive Multi-Human Multi-Remote-Robot Operations for the Future of Construction Work

FW-HTF-P：面向未来建筑工作的交互式多人多远程机器人操作

• 批准号: 2222838
• 负责人: Jin Wei-Kocsis
• 金额: $ 15万
• 依托单位: Purdue 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: 2022-10-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2222838&HistoricalAwards=false
• 关键词: FW; HTF; Interactive; Multi; Human

The overarching goal of this Future of Work at the Human Technology Frontier (FW-HTF-P) project is to create a collaboration framework for multiple human workers to team with multiple remote construction robots of various types. These human-robot teams have the potential to improve operational efficiency and scalability and thus anticipate imminent problems challenging the future of the construction industry, including a shortage of skilled labor, an aging workforce, occupational safety challenges, and stagnant productivity. However, realizing the best outcomes will require new approaches for human-robot collaborative operations in constrained and complex construction workplaces. Potential benefits to the nation are significant, given the critical economic and societal roles of the construction industry. Activities under this Project Development award will include development of a proof-of-concept worker-in-the-loop interface to support preliminary studies with industry partners at construction sites with varying work environments and operation scenarios. The preliminary studies will be supported by workshops, focus groups, training sessions, and surveys. Expected outcomes of the project include improvements to work efficiency, overall work productivity, worker safety and well-being, and recruitment and inclusion of a diverse workforce, including older workers. Ultimately the project has potential benefits for the fields of construction engineering, artificial intelligence, robotics, learning sciences, and workforce training, as well as architecture, engineering, construction, and human and social science.This award will build an interdisciplinary team of academic researchers and industry stakeholders with a deep understanding of the applicability and potential of multi-human-multi-remote-robot (MHMRR) collaboration, toward the goal of an innovative and interactive MHMRR collaboration framework with Avatar Construction Workers able to collaborate with remote heterogeneous construction robots through transparent and reliable on-site knowledge transfer. Two project development activities will be conducted to achieve this goal. First, the research team will build a prototype of a worker-in-the-loop MHMRR interface that is reconfigurable for various construction operations and integration of different new and emerging technologies. Second, the research team will draw upon partnerships with relevant stakeholders in both the construction and technology industries to design and conduct preliminary studies of MHMRR collaborations under a representative selection of realistic conditions. Experimental design and recruitment of additional partners will be accomplished through multiple activities, including workshops, focus groups, training sessions, and surveys. The Project Development activities supported by this award will result in the formation of an integrated team including academic researchers, engaged industry partners, specialized research infrastructure, a foundation of supporting preliminary results, and a research agenda tailored to advancing the critical field of MHMRR for construction. The outcome has the potential to revolutionize existing construction industries and to provide convergent solutions for technical and workforce bottlenecks.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（FW-HTF-P）项目的这一工作未来的总体目标是为多个人工工人创建一个协作框架，以使用多种远程建筑机器人团队组合各种类型的远程施工机器人。这些人类机器人团队有潜力提高运营效率和可扩展性，因此预计即将挑战建筑行业未来的问题，包括缺乏熟练的劳动力，老龄化的劳动力，职业安全挑战和停滞的生产力。但是，意识到最好的结果将需要在受约束且复杂的建筑工作场所中的人类机器人协作操作中采用新的方法。鉴于建筑业的重要经济和社会作用，对国家的潜在利益很大。该项目开发奖项下的活动将包括开发概念概念的工人界面，以支持具有不同工作环境和操作场景的建筑工地的行业合作伙伴的初步研究。初步研究将得到研讨会，焦点小组，培训课程和调查的支持。该项目的预期结果包括提高工作效率，整体工作生产力，工人的安全和福祉，以及包括年长工人在内的各种劳动力的招聘和包括各种各样的劳动力。最终，该项目对建筑工程，人工智能，机器人技术，学习科学和劳动力培训以及建筑，工程，建筑以及人类和社会科学的领域具有潜在的好处。该奖项将建立一个学术研究人员和行业利益相关者的跨学科团队，以深入了解多人 - 涉及多人 - - 霍曼 - 莫尔特 - - 莫尔多克 - 默罗比尔（Inneri-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Multi-Memulti-remot） - RBR的目标，以及与能够通过透明且可靠的现场知识转移与远程异构构造机器人合作的Avatar建筑工人的交互式MHMRR协作框架。将进行两项项目开发活动以实现这一目标。首先，研究团队将建立一个循环MHMRR界面的原型，该界面可用于各种施工操作以及不同新技术和新兴技术的集成。其次，研究团队将借鉴建筑和技术行业中相关的利益相关者的合作伙伴关系，以设计和进行MHMRR合作的初步研究，这是在代表性的现实条件下选择的。实验设计和招募其他合作伙伴将通过多个活动，包括研讨会，焦点小组，培训课程和调查来实现。该奖项支持的项目开发活动将导致组成一个综合团队，包括学术研究人员，敬业的行业合作伙伴，专业研究基础设施，支持初步结果的基础以及量身定制的研究议程，该研究议程旨在推进MHMRR的关键领域的建设。该结果有可能彻底改变现有的建筑行业，并为技术和劳动力瓶颈提供收敛解决方案。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，认为值得通过评估来获得支持。