Dan Feng

Papers

Total Citations

H-Index

About

Dr. Dan Feng is a leading researcher in robotics and intelligent control systems, with a particular focus on autonomous navigation and mobile robot design. Their most influential work, "Detection and control of a wheeled mobile robot based on magnetic navigation" (2013), introduces a novel navigation path detection algorithm that integrates fuzzy logic control with traditional PID methods. This innovative approach significantly enhances the precision and stability of wheeled mobile robots operating in structured environments. By analyzing the working principles of magnetic navigation and optimizing control strategies, Dr. Feng has made foundational contributions to the development of cost-effective, reliable autonomous systems. Their work has garnered attention from the robotics community, accumulating citations that underscore its practical relevance in industrial automation and intelligent transportation. Dr. Feng’s research bridges theoretical control engineering with real-world robotic applications, offering scalable solutions for path tracking and obstacle avoidance. For students and researchers exploring mobile robotics, Dr. Feng’s publications provide essential insights into sensor-based navigation and hybrid control architectures, establishing a solid framework for future innovations in autonomous vehicle technology.