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About

YE Xiaoping is a robotics and control systems researcher whose work centers on intelligent control methodologies for space robotics, with a particular focus on free-floating space robot systems. Operating at the intersection of adaptive control theory and artificial intelligence, YE has made meaningful contributions to solving one of the field's most persistent challenges: developing robust control strategies for robotic manipulators operating under significant uncertainty, where precise mathematical modeling is inherently difficult due to measurement limitations and external disturbances. YE's most recognized contribution, "Adaptive Robust Control for Free-Floating Space Robot with Unknown Uncertainty Based on Neural Network" (2018, 11 citations), exemplifies the core thrust of their research — leveraging neural networks to adaptively learn and compensate for unknown system dynamics in real time. This approach is extended across their body of work, which also addresses trajectory tracking problems, task-space adaptive control, and back-stepping control frameworks. Collectively, these publications demonstrate a sustained commitment to bridging theoretical control design with practical space robotics applications. With cumulative citations spanning multiple studies, YE's research offers valuable tools for engineers and researchers tackling the demanding problem of reliable autonomous manipulation in the unstructured environment of space.