Papers
2
Total Citations
85
H-Index
2
About
Dr. Gen Liu is a leading researcher at the intersection of intelligent manufacturing, human-robot collaboration, and digital twin technology. Their most impactful work introduces a groundbreaking framework for Human-Robot cooperative safe control, leveraging digital twin simulations to enable real-time, adaptive safety protocols between human workers and industrial robots. This seminal paper has garnered 76 citations, underscoring its influence on the future of collaborative automation. Dr. Liu further advances smart manufacturing with a novel robotic-vision-based defect inspection system for automotive bracket weldments, operating within a cloud–edge coordination environment. This work directly addresses critical challenges in arc-welding production—where toxic fumes compromise both inspection accuracy and worker health—by enabling automated, in-line quality control that eliminates the need for separate manual checkpoints. By integrating vision systems, edge computing, and cloud analytics, Dr. Liu’s research drives safer, more efficient, and more reliable manufacturing processes. Their contributions are pivotal for students and researchers exploring the convergence of robotics, digital twins, and industrial AI, offering practical solutions for the factories of tomorrow.
Research Focus
Key Achievements
Top Papers
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