PAN Jingfeng

Papers

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About

PAN Jingfeng’s research focuses on the reliability and precision of industrial robotic systems, with a particular emphasis on spray-painting robots used in furniture and steel-structure manufacturing. Their major contribution lies in developing a novel method for analyzing trajectory accuracy reliability by combining experimental data with simulation—a critical advancement for chain-driven robots, which offer lightweight designs and high wrist flexibility but face challenges in motion consistency. Their most-cited work (2020, 8 citations) introduces a screw-theory-based kinematic model that systematically identifies factors affecting motion precision, including random variable error modeling. This work directly addresses the trade-off between robot flexibility and operational reliability, providing a framework to enhance both spray quality and efficiency. By bridging simulation and real-world testing, PAN has advanced the practical deployment of chain-driven robots in industrial coating applications. Their research is particularly valuable for engineers seeking to optimize robot performance in environments requiring explosion-proof designs and large workspaces.