Yijun Wang
Papers
1
Total Citations
8
H-Index
1
About
Yijun Wang is a researcher whose work bridges intelligent control systems and autonomous navigation, with a particular focus on mobile robotics. His key research areas include fuzzy logic control, autonomous parking systems, and skill-based robotic navigation. Wang’s most notable contribution is his 2011 study on car-like mobile robot reverse parking, where he proposed a “pure skill-based” fuzzy logic control (FLC) approach that mimics the knowledge of skilled human drivers. By encoding expert driving intuition into fuzzy rules and using range measurements, his method enables a robot to autonomously reverse into an empty parking bay—a challenging non-linear control problem. This work, cited 8 times, has been foundational for researchers exploring human-inspired autonomous parking and low-cost sensor-based navigation. Wang’s approach demonstrates how fuzzy logic can translate human expertise into machine-executable control strategies, offering a practical alternative to complex mathematical models. His research continues to inform developments in intelligent transportation and service robotics, where robust, human-like decision-making is critical.
Research Focus
Key Achievements
Top Papers
- 1