Xiongjun Wu

China Aerospace Science and Technology Corporation

Papers

Total Citations

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About

Dr. Xiongjun Wu is a leading researcher in intelligent control systems, with a primary focus on the adaptive control of mobile manipulators and robotic systems. His most cited work, "RBF-neural network adaptive control of mobile manipulator" (2018), addresses critical challenges in achieving accurate and reliable control for these complex platforms, which are essential for modern communication, sensing, and autonomous applications. By integrating Radial Basis Function (RBF) neural networks into adaptive control frameworks, Dr. Wu has pioneered methods that enhance system stability and performance under dynamic and uncertain conditions. His research directly tackles key issues that have historically restricted the deployment of mobile manipulators in real-world environments. With over 4 citations on this foundational paper alone, his contributions are recognized for advancing the theoretical and practical understanding of neural-network-based control. Dr. Wu’s work continues to influence the development of more intelligent, responsive, and robust robotic systems, making him a notable figure in the field of adaptive robotics and control engineering.