Yonghan Ahn
Papers
4
Total Citations
69
H-Index
3
About
Yonghan Ahn is a leading researcher at the intersection of construction robotics, human-robot collaboration, and workplace safety. His work focuses on developing intelligent systems that allow robots and human workers to operate safely and efficiently together on dynamic construction sites. Ahn’s most impactful contribution is in multi-camera-based human activity recognition, which enables robots to interpret worker movements in real time to prevent collisions—a critical advancement as construction robots become more common. His highly cited 2023 paper on this topic (42 citations) addresses the limitations of single-camera systems by using multiple sensors for robust detection. He has also pioneered studies on human-robot proxemic norms, exploring how workers naturally navigate around robots to inform safer robot behavior. Earlier work includes innovative teleoperation systems for robotic excavators, such as the Phantom system, which allows intuitive remote control of heavy machinery in hazardous environments. With a growing citation record and publications in top venues, Ahn is shaping the future of safe, collaborative construction sites where humans and robots work side by side.
Research Focus
Key Achievements
Top Papers
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