Xiajun Fu

Papers

Total Citations

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About

Xiajun Fu is a leading researcher in robotics, specializing in the control, modeling, and direct teaching of industrial articulated robotic arms. Their major contributions lie in developing innovative, sensor-free methods that make complex robotic systems more intuitive and accessible. Fu pioneered a novel force-free control method based solely on motor current, eliminating the need for expensive external sensors like force or inertia measurement units. This breakthrough enables direct teaching—where a human can physically guide a heavy, high-friction industrial robot—by calibrating for gravitational, frictional, and inertial torques. Additionally, Fu introduced the LLSDPso method, a hybrid approach combining least squares and particle swarm optimization, for accurately identifying nonlinear dynamic parameters in robotic manipulators. With key papers each garnering 9 citations, Fu’s work is foundational for advancing human-robot collaboration in manufacturing. Their research directly addresses the practical challenge of making large industrial robots safe and easy to program, reducing costs and barriers to automation. By focusing on current-based sensing and intelligent algorithms, Xiajun Fu has significantly impacted the fields of robot control, parameter identification, and human-robot interaction.