FW-HTF-P: Human-Robot Collaboration for Enhancing Work Capabilities

FW-HTF-P：人机协作增强工作能力

• 批准号: 1928425
• 负责人: Robert Radwin
• 金额: $ 15万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928425&HistoricalAwards=false
• 关键词: FW; HTF; Human; Robot; Collaboration

The research objective of this Future of Work at the Human-Technology Frontier (FW-HTF) project is to create a matchmaking tool to identify opportunities in manufacturing workplaces where robot capabilities can augment or enhance human workers to improve productivity and safety. This planning project will investigate the possibility to integrate human workers into work processes by modeling tasks from an existing database of critical tasks required to perform each of more than 1000 occupations within the US economy. The project team will also engage with industry to understand differences between the results of task modeling and real work. Successful project outcomes will include the advancement of knowledge around future collaborative technologies, as well as the advancement of fundamental knowledge around the relationship and co-existence between American workers and intelligent robotic workplace assistants. A series of intensive workshops will foster new research collaborations between experts in process optimization, labor economics, and public health to build a multidisciplinary research team for a long-term FW-HTF research initiative. This planning project will apply state-of-the-art work-design and task-allocation methods and tools to jobs and occupations that show high potential for the integration of collaborative robots to gain a better understanding of the technical challenges in human-robot teaming. The research team will model a subset of candidate tasks from the US Department of Labor Occupational Information Network (O*NET) database and apply optimization-based tools to explore possibilities for human-robot teaming and to investigate the impact of human-robot teaming on both station and system level performance. The project team will analyze the effects of modeled work configurations on key factors such as productivity, ergonomics, and compatibility. Upon project completion, the team will better understand the discrepancy between work models and real-world work, as well as the measurement challenges and constraints in the integration of collaborative robots to existing manufacturing environments. Workshop activities will foster new research collaborations with experts in process optimization, labor economics, and public health to build a multidisciplinary research team for a long-term initiative. The ultimate goal of this project is to develop the necessary research personnel, research infrastructure, and foundational work to expand the opportunities for studying future technology, future workers, and future work at the level of a FW-HTF full research project.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.

人类技术前沿（FW-HTF）项目的未来工作研究目标是创建一个配对工具，以确定制造业工作场所的机会，在这些工作场所，机器人的能力可以增强或增强人类工人的能力，以提高生产率和安全性。该规划项目将通过对美国经济中1000多个职业所需的关键任务的现有数据库中的任务进行建模，研究将人类工人整合到工作流程中的可能性。项目团队还将与行业接触，以了解任务建模结果与实际工作之间的差异。成功的项目成果将包括围绕未来协作技术的知识进步，以及围绕美国工人与智能机器人工作场所助理之间的关系和共存的基础知识的进步。一系列密集讲习班将促进工艺优化、劳动经济学和公共卫生专家之间的新研究合作，为长期的fwhtf研究倡议建立一个多学科研究小组。该规划项目将把最先进的工作设计和任务分配方法和工具应用于具有协作机器人集成潜力的工作和职业，以更好地理解人机团队中的技术挑战。研究团队将对美国劳工部职业信息网络（O*NET）数据库中的候选任务子集进行建模，并应用基于优化的工具来探索人机合作的可能性，并调查人机合作对工作站和系统级性能的影响。项目团队将分析建模工作配置对关键因素的影响，例如生产力、人体工程学和兼容性。项目完成后，团队将更好地了解工作模型与实际工作之间的差异，以及将协作机器人集成到现有制造环境中的测量挑战和限制。讲习班活动将促进与工艺优化、劳动经济学和公共卫生方面的专家开展新的研究合作，为长期倡议建立一个多学科研究团队。该项目的最终目标是发展必要的研究人员、研究基础设施和基础工作，以扩大在FW-HTF全面研究项目的水平上研究未来技术、未来工人和未来工作的机会。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。