January 26, 2022 @ 5:00 pm – 6:30 pm (under construction)
January 26, 2022 @ 5:00 pm – 6:30 pm, Pacific Time Zone
Construction employs 7.5 million workers in the U.S. and accounts for 4.1% (i.e., $890 billion) of the industrial contributions to the Gross Domestic Product. However, the industry faces critical issues such as high injury rates, stagnant productivity, labor shortages, and use of outdated workflows. Artificial Intelligence (AI), Internet-of-Things (IoT), and robotics can offer unprecedented opportunities to solve these issues. Nevertheless, there is resistance toward technology acceptance in the industry and a dearth of research on adaptable and trustworthy methods and use-cases to foster adoption. For example, existing AI and robotics algorithms and applications fail to adapt to cluttered spaces such as construction job sites and establish trust among workers who may not see technology as a benevolent companion. In this presentation, different use-inspired research studies that target construction industry grand challenges using AI, IoT, and robotic are presented. These studies include research on construction worker-robot collaboration in an adaptive and trustworthy setting; the applications of machine learning for activity recognition of construction equipment; the use of IoT sensing methodologies for workers safety in road work-zones; and an investigation of driver distraction in the presence of drones using eye-tracking technology.
Following the presentation, we will move into a Lean Coffee format for discussion.