Wanjuan Cheng
Papers
1
Total Citations
4
H-Index
1
About
Dr. Wanjuan Cheng’s research lies at the intersection of intelligent control systems and mobile robotics, with a particular focus on navigation and obstacle avoidance in unknown environments. Her most cited work, “Application of fuzzy neural network based on T-S model for mobile robot to avoid obstacles” (2008), tackles the fundamental challenge of enabling robots to reach their destinations without collision when operating in unpredictable settings. By integrating Takagi-Sugeno (T-S) fuzzy logic with neural networks, Dr. Cheng developed a hybrid control framework that adaptively processes sensor data to make real-time navigation decisions. This contribution has garnered 4 citations, serving as a foundational reference for researchers exploring bio-inspired and soft computing approaches to robotic motion planning. Her work exemplifies how fuzzy neural systems can bridge the gap between human-like reasoning and machine precision, offering a robust solution for autonomous navigation. Dr. Cheng’s research continues to influence the development of intelligent, adaptive robots capable of operating safely in complex, unstructured environments—a critical step toward fully autonomous systems in industrial, service, and exploration applications.
Research Focus
Key Achievements
Top Papers
- 1