Papers
1
Total Citations
6
H-Index
1
About
Yuye Lu is a researcher specializing in the dynamics and control of space robotic systems, with a particular focus on flexible-joint manipulators and post-capture operations. Their most cited work, "Post-capture tracking control with fixed-time convergence for a free-flying flexible-joint space robot based on adaptive neural network" (2023, 6 citations), introduces a novel adaptive neural network approach to achieve fixed-time stability in the challenging scenario of capturing a free-floating target in space. This contribution addresses a critical bottleneck in on-orbit servicing and debris removal: ensuring precise, stable control despite the inherent flexibility of robotic joints and the uncertainties of the space environment. By guaranteeing convergence within a fixed time, independent of initial conditions, Lu’s method enhances the reliability and safety of autonomous space robots. While their citation count is still growing, the work represents a significant step toward practical, robust control for future space missions. Lu’s research bridges advanced control theory and real-world aerospace engineering, offering valuable insights for students and engineers working on autonomous systems, adaptive control, and space robotics.
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