Ferdous Majeed Ameen
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ferdous Majeed Ameen is a leading researcher in robotics and intelligent control systems, with a primary focus on autonomous mobile robot navigation and obstacle avoidance. His most cited work, "Optimal Mobile Robot Navigation for Obstacle Avoidance Based on ANFIS Controller" (2025, 3 citations), addresses a fundamental challenge in robotics: enabling wheeled mobile robots to navigate safely and efficiently in unknown environments. Dr. Ameen’s key contribution lies in developing a sensor-based steering angle control method integrated with an Adaptive Neuro-Fuzzy Inference System (ANFIS), which combines the learning capabilities of neural networks with the reasoning power of fuzzy logic. This hybrid approach allows robots to adapt to dynamic surroundings and avoid collisions with high precision. His research bridges the gap between theoretical control algorithms and practical robotic applications, offering a robust solution for real-world navigation tasks. With a growing citation impact, Dr. Ameen’s work is increasingly recognized in the fields of automation, mechatronics, and artificial intelligence. His innovative ANFIS-based controller represents a significant step forward in creating safer, more intelligent autonomous systems, making his research essential reading for students and engineers working on next-generation mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1