Xiaokang Xu
Papers
4
Total Citations
33
H-Index
3
About
Xiaokang Xu is an emerging researcher specializing in industrial robotics, automated manufacturing, and precision calibration, with a particular focus on Automated Fiber Placement (AFP) systems for advanced composite material production. His work addresses one of the most technically demanding challenges in modern aerospace and heavy-industry manufacturing: achieving high positioning accuracy in heavy-duty robotic systems subject to complex mechanical and dynamic loads. Xu's most influential contribution, a 2022 paper accumulating 16 citations, introduced a sophisticated modeling and calibration framework for AFP robots that accounts for compliance and joint-dependent errors — factors critically important when handling the substantial mass of industrial robotic arms during carbon fiber composite lay-up. Subsequent research has expanded this foundation, investigating end-effector contact force estimation under dynamic load variations, multi-source lay-up error analysis, and hydraulic equilibrium dynamics in heavy-duty systems — each garnering recognition within the robotics and manufacturing communities. Collectively, Xu's body of work, totaling over 30 citations across four papers, demonstrates a coherent and deepening research trajectory aimed at making robotic AFP processes more accurate, reliable, and industrially viable — capabilities essential for next-generation lightweight structural manufacturing in aerospace and automotive sectors.
Research Focus
Key Achievements
Top Papers
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