Xinwei Wu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Xinwei Wu is a researcher whose work lies at the intersection of neural network theory and mobile robotics, with a particular focus on path planning and optimization. Their most cited paper, "Design of path planning based Cellular Neural Network" (2010, 6 citations), introduces a novel Cellular Neural Network (CNN) architecture—the shortest path CNN (SP-CNN)—that leverages neural dynamics to solve path planning problems for mobile robots. This contribution demonstrates how biologically inspired computing can enhance autonomous navigation, offering efficient solutions in static environments. While the citation count reflects a specialized niche, the work is notable for its innovative integration of CNN structures with real-time robotic applications, laying groundwork for further exploration in intelligent control systems. Dr. Wu’s research bridges the gap between theoretical neural models and practical engineering challenges, making it a valuable reference for students and researchers interested in neural network-based robotics, autonomous systems, and computational intelligence.
Research Focus
Key Achievements
Top Papers
- 1Design of path planning based Cellular Neural Network6 citations · 2010