Jiyun Qin
Papers
13
Total Citations
196
H-Index
7
About
Jiyun Qin is at the forefront of intelligent manufacturing, pioneering the integration of digital twin technology, multimodal perception, and human-robot collaboration (HRC) to revolutionize industrial automation. Their core research focuses on creating seamless, intuitive interfaces between humans and robots—from teleoperated virtual reality systems to dual-robot collaborative manipulation—to enhance safety, precision, and efficiency in complex assembly environments. Qin’s most impactful work, "Process Simulation and Optimization of Arc Welding Robot Workstation Based on Digital Twin" (58 citations), established a foundational framework for optimizing robotic collaboration using real-time digital replicas. Their comprehensive review on "Multimodal perception-fusion-control and human–robot collaboration in manufacturing" (31 citations) has become a key reference in the field. Further contributions include developing a dual-layer vision-based grasping mechanism using Faster R-CNN and GRCNN, and a novel neural network terminal sliding mode controller for robotic arm trajectory tracking. With over 180 total citations across ten highly-cited papers published in 2023-2024, Qin’s work is driving the next generation of smart, human-centric manufacturing systems.
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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