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1
Total Citations
36
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About
Dr. Fandi Qing is a rising authority in the field of robotic control systems, with a primary focus on human support robotics and advanced nonlinear control methodologies. His research centers on developing robust, adaptive control strategies that ensure safe and precise interaction between robots and humans, particularly in assistive and rehabilitation contexts. Dr. Qing’s most impactful work, "Trajectory Tracking Control of Human Support Robots via Adaptive Sliding-Mode Approach" (2023), has already garnered 36 citations, reflecting its significance in addressing critical challenges in human-robot interaction. In this seminal paper, he introduces a novel finite-time controller based on nonsingular fast terminal sliding-mode control (SMC), coupled with a robust disturbance observer to enhance trajectory tracking accuracy. This dual approach effectively mitigates the effects of external disturbances and system uncertainties, a persistent hurdle in real-world robotic applications. By bridging theoretical rigor with practical implementation, Dr. Qing’s contributions are paving the way for more reliable and responsive human support robots, making him a notable emerging scholar in the intersection of adaptive control and assistive robotics.
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