Ziyang Guo

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About

Ziyang Guo is an emerging researcher at the intersection of construction robotics, human-robot collaboration, and intelligent safety systems. His work addresses one of the construction industry's most pressing challenges: enabling safe, seamless integration of autonomous robots alongside human workers in dynamic, hazard-prone environments. Guo's most influential contribution to date is his development of a digital twin-enabled safety monitoring system for worker-robot collaboration in construction, which has already garnered 11 citations since its 2025 publication — a remarkable early impact that signals strong community interest in this approach. This work leverages real-time digital twin technology to continuously monitor and manage interaction risks between workers and robotic systems on active construction sites. Complementing this, his research on robot path planning introduces a novel framework that integrates safe space modeling with worker trajectory prediction, enabling construction robots to navigate dynamically around human presence. His earlier work on robotic systems for construction truck cranes further demonstrates his commitment to practical automation solutions for heavy construction operations. Though early in his career, Guo's focused research agenda — spanning safety monitoring, autonomous navigation, and construction robotics — positions him as a promising contributor to the future of intelligent, human-centered construction automation.