Jianzhou Chen
Papers
5
Total Citations
44
H-Index
3
About
Jianzhou Chen is a robotics researcher whose work focuses on intelligent assembly and disassembly systems, particularly for industrial fasteners like screws and bolts. His major contributions lie in integrating hybrid vision systems with robotic manipulation to automate complex tasks such as screw disassembly and bolt fastening. By combining robot vision with cooperative motion and multi-camera setups, Chen has developed methods that improve precision and reduce reliance on expensive sensors. His most cited paper (2024, 17 citations) introduces a robot stiffness model based on rigid-flexible coupling simulation, applied to trajectory planning for enhanced assembly performance. Another notable work (2022, 13 citations) presents a novel disassembly strategy for hexagonal screws using robot-tool cooperation, addressing a key bottleneck in industrial maintenance. Chen’s research has practical implications for manufacturing automation, with his 2024 and 2025 papers (10 and 2 citations, respectively) further refining process parameter decision-making for bolt assembly. His achievements demonstrate a systematic approach to improving fastening reliability and efficiency, making his work valuable for students and researchers in robotics, manufacturing, and automation.
Research Focus
Key Achievements
Top Papers
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