Xichang Liang
Papers
2
Total Citations
8
H-Index
2
About
Xichang Liang is an emerging researcher specializing in advanced control systems for robotic manipulators, with a particular focus on sliding mode control methodologies and dynamic compensation techniques. Their work addresses one of robotics' most persistent challenges: achieving precise trajectory tracking under variable load conditions, where traditional control approaches often fall short. Liang's most notable contribution is the development of an Adaptive Fast Terminal Sliding Mode Control (AFSMC) framework that integrates joint torque estimation with friction compensation, published in 2024 and already accumulating 6 citations. This approach represents a meaningful advancement in enhancing trajectory tracking accuracy for robotic manipulators operating in real-world, unpredictable environments. Building on this foundation, their 2025 work introduces a Non-Singular Fast Terminal Sliding Mode controller incorporating integrated dynamic compensation, further refining robustness against modeling uncertainties and external disturbances. Though early in their research career, Liang demonstrates a clear and focused research trajectory centered on making robotic control systems more adaptive, accurate, and practically deployable. Students and engineers working in robotics, automation, or control theory will find Liang's contributions particularly relevant to the ongoing effort of bridging theoretical control design with real-world robotic application demands.
Research Focus
Key Achievements
Top Papers
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- 2