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About

Xurong Luo is a leading researcher in the field of wearable robotics, with a primary focus on lower limb exoskeletons designed to enhance human mobility and safety in industrial settings. Luo’s major contributions center on solving the critical challenge of gait trajectory tracking—ensuring that robotic exoskeletons move in perfect synchrony with the human user. To address the inherent nonlinearities and uncertainties of human-robot coupling systems, Luo has pioneered advanced control strategies, including adaptive iterative learning control and radial basis function neural networks. These innovations, detailed in highly cited works such as the 2021 paper on an interactive controller for construction workers (23 citations), directly improve the performance, stability, and safety of exoskeletons. Luo’s research also extends to hybrid adaptive control for industrial robotic joints, demonstrating a broad expertise in robust control theory. With a growing body of work that bridges theoretical control algorithms and practical wearable technology, Xurong Luo is recognized for making exoskeletons more reliable and effective for real-world applications, particularly in physically demanding occupations.