Papers
1
Total Citations
18
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1
About
Xiao Yue is a researcher specializing in robotics and autonomous systems, with a particular focus on the control and navigation of mobile robots in challenging environments. Their most notable contribution lies in the development of advanced path tracking algorithms for skid-steered mobile robots operating on slopes—a critical problem in off-road and industrial robotics. In their highly cited 2022 paper, Yue introduced a novel hybrid control approach that integrates fuzzy logic with model predictive control (MPC), enabling robust and adaptive trajectory following on uneven terrain. This work, which has garnered 18 citations, addresses key challenges in real-time motion planning and stability for nonholonomic robotic platforms. By combining the interpretability of fuzzy systems with the optimization capabilities of MPC, Yue's research offers a practical solution for autonomous vehicles navigating complex outdoor environments. Their work is particularly relevant to applications in agriculture, mining, and disaster response, where reliable slope traversal is essential. Yue's contributions continue to influence the design of intelligent control systems for mobile robots, bridging the gap between theoretical control theory and real-world robotic deployment.
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