Jianguo Duan
Papers
13
Total Citations
196
H-Index
7
About
Jianguo Duan is a leading researcher in intelligent manufacturing, specializing in digital twin technology, human-robot collaboration (HRC), and robotic manipulation. His work focuses on bridging the gap between virtual simulation and physical industrial processes, with major contributions in developing digital twin frameworks for welding and dual-robot workstations. Duan’s research has garnered significant attention, with his most-cited paper on digital twin welding optimization accumulating 58 citations, and his review on multimodal perception-fusion-control in manufacturing reaching 31 citations. He has pioneered teleoperated virtual reality systems for five-dimensional collaboration and multimodal gesture-controlled assembly systems, addressing critical challenges in complex industrial environments. Duan’s notable achievements include proposing the IPQ-RRT* Connect algorithm for multi-objective motion planning and developing vision-based grasping systems using Faster R-CNN–GRCNN dual-layer detection. His work on 6D pose estimation for robotic grasping in disordered settings further demonstrates his impact on practical automation. With a consistent focus on enhancing robot accuracy, safety, and intuitiveness, Duan’s research continues to shape the future of smart manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 9HRC of intelligent assembly system based on multimodal gesture control6 citations · 2023
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