Papers
6
Total Citations
69
H-Index
5
About
Haozhe Yang is a pioneering robotics researcher whose work bridges the gap between human-machine interaction and real-world infrastructure safety. His primary research areas include human-in-the-loop teleoperation, humanoid robotics, digital twin technology, and autonomous inspection systems. Yang’s most impactful contribution is the invention of “IWI,” a life-size traffic police robot designed to replace human officers at hazardous intersections—a project that has garnered 22 citations and addresses a critical occupational safety issue. He has also advanced the field of structural health monitoring by developing a digital twin-based framework for fatigue life assessment of orthotropic steel bridge decks, integrating inspection robots with deep learning to achieve 19 citations. His work on automatic PAUT crack detection and depth identification further demonstrates his commitment to preventing catastrophic infrastructure failures. Notably, Yang has pioneered natural teaching paradigms for humanoid robots through scene-motion cross-modal perception, enabling intuitive human-robot collaboration. With a portfolio spanning from surgical continuum manipulators to real-time motion imitation systems, Yang’s research consistently emphasizes practical, life-saving applications. His cumulative citation impact and focus on deploying robots in high-risk environments mark him as a transformative figure in applied robotics and civil infrastructure safety.
Research Focus
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Top Papers
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