Bilal Yucel
Papers
1
Total Citations
2
H-Index
1
About
Dr. Bilal Yucel is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance, with a particular focus on geometric and fuzzy-logic-based control systems. His most notable contribution is the development of the "Fuzzy Controlled Adaptive Follow the Gap Obstacle Avoidance Algorithm" (2021), which refines the classic Follow the Gap Method (FGM) and its improved variant (FGM-I). These algorithms enable vehicles to dynamically detect gaps around obstacles and navigate toward the midpoint of the optimal gap, enhancing safety and efficiency in real-time path planning. By integrating fuzzy control, Dr. Yucel’s approach adapts to varying environmental conditions, offering a robust solution for mobile robots and autonomous vehicles. While his work has garnered over 2 citations, its significance lies in advancing geometric navigation methods, making them more adaptive and reliable for complex scenarios. Dr. Yucel’s research bridges theoretical control systems with practical robotics applications, contributing to the broader field of intelligent transportation and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy Controlled Adaptive Follow the Gap Obstacle Avoidance Algorithm2 citations · 2021