Diancheng Chen

Chinese Academy of Sciences, Chinese University of Hong Kong

Papers

Total Citations

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About

Diancheng Chen is a leading researcher in the field of robotic manufacturing and automation, with a primary focus on autonomous surface finishing and intelligent control systems. His work addresses the critical challenge of automating labor-intensive sanding operations—a task traditionally reliant on manual labor, which suffers from inconsistent quality and significant health risks. Chen’s major contributions include the development of a Model-Free Adaptive Impedance Control system for autonomous robotic sanding, a breakthrough that enables robots to adapt to varying surface conditions without requiring precise mathematical models. This work, published in 2021, has garnered 40 citations, reflecting its impact on advancing adaptive control in manufacturing. Additionally, his 2019 paper on the Development of an Autonomous Sanding Robot with Structured-Light Technology introduced a novel integration of 3D vision for real-time surface mapping, earning 7 citations. Chen’s research not only enhances robotic precision and safety but also paves the way for fully automated, high-quality finishing processes in industries like furniture and decorative manufacturing. His work is instrumental in reducing human exposure to hazardous environments while improving production consistency.