Haoqi Wang
Papers
3
Total Citations
95
H-Index
3
About
Dr. Haoqi Wang is a leading researcher at the forefront of intelligent manufacturing, with a primary focus on human-robot collaboration (HRC) and digital twin technology. His work addresses the critical challenge of ensuring safety in complex, human-in-the-loop assembly environments. Wang’s most influential contribution is his pioneering framework for Human-Robot Cooperative Safe Control based on digital twins, which has garnered 76 citations and established a new paradigm for real-time, adaptive safety systems. This work is complemented by his recent 2024 study on personalised safety detection in HRC assembly, which accounts for individual worker differences—a nuanced problem often overlooked in the field. Demonstrating his versatility, Wang also developed a novel robotic-vision-based defect inspection system for automotive bracket weldments, operating within a cloud–edge coordination environment. This innovation solves the dual problem of fume interference and health hazards in arc-welding inspection, achieving 9 citations since 2023. By integrating digital twins with human-aware safety protocols and advanced vision systems, Wang is shaping a future where humans and robots work together seamlessly, safely, and efficiently in smart factories.
Research Focus
Key Achievements
Top Papers
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