Collaborative Research: NRI: Reducing Falling Risk in Robot-Assisted Retail Environments

合作研究：NRI：降低机器人辅助零售环境中的跌倒风险

• 批准号: 2132936
• 负责人: Boyi Hu
• 金额: $ 38.25万
• 依托单位: University of Florida
• 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: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2132936&HistoricalAwards=false
• 关键词: Collaborative; Research; NRI; Reducing; Falling

Occupational injuries continue to adversely affect the wholesale and retail workforce with persistently high incidence rates and injury counts, especially fall-related injuries. Previous work has indicated that occupational falling can be primarily attributed to a lack of understanding of the walking surfaces, such as floors. Robots can be used not only to assess the walking surface better than humans, but also can convey important safety related information more effectively to co-workers as well as customers. The main goal of this project is to investigate the health and safety implications of the wholesale and retail crew collaboratively working with robots in a typical retail environment, and use these opportunities to reduce personnel falling injuries. Compared to other occupational settings where robotics and automation have been flourishing, this environment presents challenges to be addressed before a comparable widespread adoption of robots can be established. From the robotics systems point of view, the research team aims to substantially reduce the falling risk exposure by providing a real-time walkability map to people in the environment. From the safety perspective, the research team will focus on comprehensive safety, workload influence, and the psychological impacts on retail workers and customers when working with/around mobile robots under varied circumstances.There are three research thrusts to pursue in this research work: Thrust 1 - identify and evaluate the risks associated with the operation of mobile robots in retail environments under different operating conditions. Thrust 2 - develop a new function that could augment a wide range of retail robots to survey the indoor ground surface while performing primary functions such as cleaning and inventory checking. Outputs will be integrated to generate an indoor space walkability map informing the surrounding pedestrians of potential risks of slipping or tripping. Thrust 3 - investigate the effects of mobile robots and the walkability map on workers’ physical falling risk exposure, cognitive workload and psychological impacts in real-world retail sites. In addition, the research team will evaluate if the falling prevention function can improve the overall technology acceptance among professional workers and eventually lower the technology adoption barrier. The education and outreach plan includes creating educational modules, training opportunities for workers as well as graduate and undergraduate students—especially those from underrepresented groups, and K12 activities.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.

职业伤害继续对批发和零售劳动力产生不利影响，其发生率和伤害数量持续居高不下，特别是与跌倒有关的伤害。先前的研究表明，职业性跌倒主要归因于缺乏对行走表面（如地板）的理解。机器人不仅可以比人类更好地评估行走表面，还可以更有效地向同事和客户传达重要的安全相关信息。该项目的主要目标是调查批发和零售人员在典型零售环境中与机器人协同工作对健康和安全的影响，并利用这些机会减少人员坠落伤害。与机器人技术和自动化蓬勃发展的其他职业环境相比，在机器人得到广泛采用之前，这种环境提出了需要解决的挑战。从机器人系统的角度来看，研究团队的目标是通过向环境中的人们提供实时步行地图，大幅降低跌倒风险。从安全的角度来看，研究团队将重点关注在不同情况下与移动机器人一起工作时的综合安全、工作量影响以及对零售工人和顾客的心理影响。在这项研究工作中有三个研究重点：重点1 -识别和评估与零售环境中不同操作条件下移动机器人操作相关的风险。推力2 -开发一种新功能，可以增强广泛的零售机器人，在执行清洁和库存检查等主要功能的同时，调查室内地面。输出将被整合以生成一个室内空间步行性地图，告知周围的行人滑倒或绊倒的潜在风险。研究移动机器人和步行地图对现实世界零售场所工人身体跌倒风险暴露、认知负荷和心理影响的影响。此外，研究团队将评估防摔功能是否可以提高专业工人的整体技术接受度，最终降低技术采用障碍。教育和推广计划包括创建教育模块，为工人以及研究生和本科生提供培训机会，特别是那些来自代表性不足群体的学生，以及K12活动。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。

项目成果

How Do Humans Adjust Their Motion Patterns in Mobile Robots Populated Retail Environments?

• DOI: 10.1109/ichms56717.2022.9980607
• 发表时间: 2022-11
• 期刊: 2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)
• 作者: Yue Luo;Yuhao Chen;M. Yerebakan;Shuai Hao;Nicolas S. Grimaldi;Chizhao Yang;Read Hayes;Boyi Hu

Evaluating Human Locomotion Safety in Mobile Robots Populated Environments

评估移动机器人密集环境中的人体运动安全

• DOI: 10.1109/issrew55968.2022.00096
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW
• 作者: Hu, Boyi;Luo, Yue;Chen, Yuhao
• 通讯作者: Chen, Yuhao

Human Acceptance of the Cleaning Robot in Grocery Environments During the COVID-19 Pandemic

COVID-19 大流行期间人类对杂货店环境中清洁机器人的接受程度

• DOI: 10.1177/1071181322661138
• 发表时间: 2022
• 期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
• 作者: Chen, Yuhao;Luo, Yue;Ozkan Yerebakan, Mustafa;Hu, Boyi
• 通讯作者: Hu, Boyi

Multisensory Evaluation of Human-Robot Interaction in Retail Stores - The Effect of Mobile Cobots on Individuals' Physical and Neurophysiological Responses

零售店人机交互的多感官评估 - 移动协作机器人对个人身体和神经生理反应的影响

• DOI: 10.1145/3568294.3580115
• 发表时间: 2023
• 期刊: HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
• 作者: Luo, Yue;Chen, Yuhao;Hu, Boyi
• 通讯作者: Hu, Boyi