报告题目：

智能化人机交互中的施工安全

Presentation Title:

Bricks, Bots, and Bytes: The Synergy of Humans, Robots, and AI in Construction Safety

报告专家：Idris Jeelani博士，佛罗里达大学助理教授

报告时间：2023年10月23日（周一）20：30-21：30

报告地点：Join Zoom Meeting

https://ufl.zoom.us/j/91862313729?pwd=bjJIQU1tbzJJN3ZGUjNmOURlMXhaZz09

Meeting ID: 918 6231 3729

Passcode: 339728

摘要：

本讲座将深入探讨机器人技术在未来建筑工地中的作用，以及机器人在现场发挥更积极作用的演变过程。本讲座讨论的核心是与这些机器人密切合作的人类工人的健康和安全问题。本讲座将讨论在建筑环境中与机器人互动或靠近机器人所带来的有形身体风险、注意力需求和心理影响。最后，我们将强调为保护工人安全而进行个性化培训的重要必要性，并着重介绍人工智能如何成为这种个性化培训的关键工具。

Abstract:

This presentation delves into the expanding role of robotics in future construction sites and the evolution of robots taking on more active roles in the field. Central to our discussion will be the health and safety implications for human workers collaborating closely with these robots. We'll address the tangible physical risks, the attentional demands, and the psychological effects of interacting with or being near robots in construction environments. Concluding our discourse, we'll underscore the crucial need for personalized training to safeguard workers, highlighting how AI emerges as a pivotal tool in crafting such personalized training.

报告专家简介：

Jeelani博士领导着林肯建筑管理学院的建筑自动化与安全（CAS）研究小组。他的研究重点是建筑安全、可视化数据分析和认知科学，以支持下一代安全智能基础设施的建设。他在北卡罗来纳州立大学获得土木工程硕博学位后，于2019年加入佛罗里达大学。多年来，他参与了多个研究项目，重点关注：（1）建筑工人的视觉注意力行为及其对安全绩效的影响；（2）通过开发人工智能解决方案提高工人绩效；以及（3）评估建筑自动化和机器人机器对健康和安全的影响。

研究成果已发表在主要的同行评审期刊和会议论文集上。Jeelani博士于 2016年开发了首个针对建筑工人的个性化危险识别培训干预措施。该工作发表在ASCE-JCEM上，被评为2017年度最佳论文，并获得诺曼奖章提名。Jeelani博士还开发了首个绘制真实世界动态人体凝视固定点的算法，并为建筑业开发了基于视觉的新型自动危险检测系统。这项工作将有助于提高人类工人检测建筑工地危险的能力。目前，Jeelani博士正在参与由美国国家科学基金会和美国劳工部资助的多个项目，研究无人机对建筑工地健康和安全的影响，并开发基于人工智能的工具，以提高建筑施工的安全性能。

Bio:

Dr. Jeelani leads the Construction Automation and safety (CAS) research group, at the Rinker School of Construction Management. His research focuses on construction safety, visual data analytics, and cognitive sciences to support the building of the next generation of safe and smart infrastructure. He joined UF in 2019 after completing his Ph.D. and MS in civil engineering from North Carolina State university. Over the years, he has worked on multiple research projects focusing on : (1) visual attention behavior of construction workers and its impact on their safety performance, (2) augmenting worker performance through the development of AI solutions, and (3) evaluating the health and safety impacts of automated and robotic machines in construction.

Dr. Jeelani developed the first personalized hazard-recognition training intervention for construction workers in 2016. The work was published in the ASCE Journal of Construction Engineering and Management and awarded the best paper of 2017 and was nominated for the Norman medal. Dr. Jeelani has also developed the first algorithm to map real-world gaze fixations of dynamic human subjects and developed a novel vision-based automated hazard detection system for construction. The work will be instrumental in augmenting human worker’s performance in detecting hazards on construction job sites. Currently, Dr. Jeelani is working on multiple projects funded by NSF and the US Department of Labor investigating the health and safety implications of UAVs on construction job sites, and building the AI-based tools to improve safety performance in construction.