Degang Xu
Papers
1
Total Citations
3
H-Index
1
About
Degang Xu is a leading researcher in autonomous vehicle control and intelligent decision-making systems, with a particular focus on four-wheel independent steering and driving (4WISD) technologies. His most notable contribution is the development of a hierarchical decision-making framework that seamlessly integrates deep reinforcement learning (DRL) for high-level navigation with fuzzy logic for low-level control, addressing critical challenges in autonomous navigation stability and adaptability. This pioneering work, published in 2025 and already garnering 3 citations, demonstrates Xu's ability to bridge advanced machine learning techniques with practical control engineering. His research is instrumental in advancing the safety and efficiency of next-generation autonomous vehicles, particularly in complex, dynamic environments. Xu's interdisciplinary approach—combining artificial intelligence, robotics, and fuzzy systems—positions him as a key innovator in the field, with his work serving as a foundation for future studies in hierarchical control architectures and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1