Xinyan Mo
Papers
1
Total Citations
1
H-Index
1
About
Xinyan Mo is a researcher specializing in intelligent control systems and robotics, with a particular focus on trajectory tracking and adaptive control for robotic manipulators. Their major contribution lies in the innovative integration of wavelet neural networks (WNN) with sliding mode control (SMC) to address trajectory-tracking challenges in space robots operating under periodic interference. This work, detailed in their 2022 paper "Trajectory Tracking of Two-Joint Space Robot using Wavelet Neural Networks and Sliding Mode Control," demonstrates a novel approach to enhancing control precision and robustness in complex, dynamic environments. While the paper has garnered 1 citation to date, it represents a foundational step in combining neural network adaptability with sliding mode robustness—a promising direction for future research in autonomous robotic systems. Mo’s work is particularly relevant for students and researchers exploring advanced control strategies for space robotics, offering a clear framework for tackling periodic disturbances in multi-joint manipulators. Their research underscores the potential of hybrid control methods to improve performance in challenging operational contexts.
Research Focus
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Top Papers
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