Daeho Kim

Daeho Kim is an Assistant Professor in the Department of Civil & Mineral Engineering at the University of Toronto. His research focuses on construction and construction management, with an emphasis on co-robotic construction and human-robot collaboration. His work explores ways to enhance safety, productivity, and ergonomics in construction through the integration of robotics. Kim's research agendas include ensuring worker safety alongside robots, improving physical, cognitive, and emotional comfort for workers, designing ideal work environments for human-robot teams, and fostering a new workforce skilled in robot collaboration. His research interests also encompass 3D reconstruction, digital twin technologies, and computer vision for construction site monitoring.

Daeho Kim is a professor in Civil Engineering at the University of Toronto, specializing in construction technology and safety. His research focuses on leveraging advanced technologies such as drones, artificial intelligence, and computer vision to enhance construction safety, productivity, and hazard detection. Kim's work explores the integration of machine learning and generative adversarial networks to address data scarcity in construction monitoring and improve automated productivity assessment. His research also investigates human-robot collaboration in construction environments, emphasizing the role of emotional responses and semantic relations in ensuring safe and efficient workflows.