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About

Hongling Guo is a researcher specializing in construction robotics, automation, and intelligent safety systems, with a focus on advancing the integration of cutting-edge technology into real-world construction environments. His work sits at the intersection of computer vision, human-robot collaboration, and autonomous systems, addressing some of the most pressing challenges in modern construction practice. Guo's most influential contribution, "Image-based Onsite Object Recognition for Automatic Crane Lifting Tasks" (2020), has garnered 41 citations, demonstrating significant community recognition for his efforts to automate complex lifting operations through visual intelligence. This work laid a strong foundation for his subsequent research into robotic crane systems, culminating in the development of a dedicated robotic system for construction truck cranes in 2023. More recently, Guo has turned his attention to worker safety in increasingly automated job sites. His 2025 work on digital twin-enabled safety monitoring for seamless worker-robot collaboration represents a forward-thinking approach to one of construction's most critical concerns. Complementing this, his research into robot path planning using safe space modeling and worker trajectory prediction further underscores his commitment to creating safer, smarter construction environments where humans and machines can work harmoniously together.