Dongwu Li

Shanghai Jiao Tong University, Donghua University, Beijing Institute of Radio Metrology and Measurement

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About

Dongwu Li’s research lies at the intersection of robotics, intelligent control, and advanced materials, with a focus on solving real-world manufacturing challenges. His work on **rate-dependent adhesion in dynamic contact of spherical-tip fibrillar structures** (2022, 13 citations) provides critical insights into how adhesive forces change with speed in bio-inspired gripping systems, informing the design of more reliable robotic end-effectors. In the domain of textile automation, Li developed a **neural network adaptive force tracking admittance controller for a spinning yarn piecing robot** (2023, 4 citations), addressing the notoriously difficult problem of automatically reconnecting broken yarn in ring spinning. His innovation uses interactive force prediction to dynamically adjust controller parameters, overcoming the poor tracking of time-varying forces caused by environmental changes—a key barrier to industrial adoption. Additionally, his work on **kinematic parameter identification and compensation for industrial robots** (2019, 4 citations) improves absolute positioning accuracy, essential for precision manufacturing. Together, these contributions demonstrate Li’s ability to bridge fundamental mechanics and practical control, advancing both the science of adhesion and the automation of delicate, high-speed industrial processes.