Asif Mahfuz
Papers
1
Total Citations
28
H-Index
1
About
Asif Mahfuz is a researcher whose work sits at the intersection of robotics, artificial intelligence, and intelligent control systems. His most cited contribution, "Application of Fuzzy Logic for Collision Avoidance of Mobile Robots in Dynamic-Indoor Environments" (2021, 28 citations), addresses a critical challenge in autonomous navigation: enabling mobile robots to safely and adaptively avoid obstacles in unpredictable indoor spaces. By applying fuzzy logic—a decision-making framework that mimics human reasoning—Mahfuz has advanced the development of more responsive and reliable autonomous systems. This work is particularly relevant as the deployment of mobile robots in warehouses, hospitals, and homes continues to grow. Beyond this paper, his research explores how heuristic and soft computing techniques can enhance robot perception and path planning. With a focus on practical, real-world applications, Mahfuz contributes to making autonomous robots not only smarter but also safer in dynamic environments. His work is a valuable resource for students and researchers interested in the intersection of AI and robotics, offering a clear example of how fuzzy logic can bridge the gap between theoretical control systems and tangible robotic performance.
Research Focus
Key Achievements
Top Papers
- 1