Mr. Zhaohui Chen | AI-Based Robot Perception | Research Excellence Award

Mr. Zhaohui Chen | AI-Based Robot Perception | Research Excellence Award

The University of Sydney | Australia 

Mr. Zhaohui Chen is a PhD candidate in Civil Engineering at the University of Sydney, focusing on AI-driven infrastructure assessment, disaster response, and digital-twin systems. His research combines computer vision, multimodal learning, and agentic AI to develop scalable, interpretable frameworks for large-scale damage assessment, AI-Based Robot Perception and decision support. He has published multiple first-author papers in leading journals, including Nature Communications and Automation in Construction. His work aims to enable real-world engineering decision-making under uncertainty by integrating robotics-enabled inspection, intelligent automation, and digital-twin technologies.

Citation Metrics (Scopus)

24
18
12
6
0

Citations
23

Documents
2

h-index
2

Citations

Documents

h-index


View Scopus Profile

Featured Publications


An average pooling designed Transformer for robust crack segmentation


– Automation in Construction, 2024 (Open Access)

Dr. Hassen Nigatu | Robotics and Automation | Best Industrial Research Award

Dr. Hassen Nigatu | Robotics and Automation | Best Industrial Research Award

Yuyao Robot Research Center | China

Dr. Hassen Nigatu is a distinguished robotics researcher and Young Thousand Talents award recipient, specializing in theoretical kinematics and high-precision parallel robots. His work integrates Lie algebra, screw theory, and dynamic modeling with emerging areas such as machine learning and quantum computing for advanced robotic optimization and control. He has over a decade of research experience at KIST and Zhejiang University, leading projects on parasitic-motion-free mechanisms, quantum optimization, VR haptic systems, Robotics and Automation. His research bridges rigorous theory with real-world applications, resulting in impactful publications and funded projects advancing next-generation robotics.

Citation Metrics (Scopus)

60
45
30
15
0

Citations
55

Documents
15

h-index
4

Citations

Documents

h-index


View Scopus Profile
                     View Orcid Profile

Featured Publication