G. M. D. Irfan Feroz
Papers
1
Total Citations
4
H-Index
1
About
G. M. D. Irfan Feroz is a researcher in robotics and artificial intelligence, with a focus on autonomous navigation and machine learning. His most notable contribution is the development of ROBOG, an autonomous robot guide that integrates an Artificial Neural Network for decision-making and terrain learning. This work, presented in his 2014 paper "ROBOG: Robo guide with simple learning strategy," demonstrates a novel approach to enabling robots to learn and navigate known environments without pre-programmed maps, using a simple yet effective learning strategy. While his work has garnered modest citation counts, it represents an early experimental effort in accessible, learning-based robotic guidance systems. Feroz's research bridges the gap between theoretical AI and practical robotics, offering insights into how neural networks can be deployed for real-world navigation tasks. His work is particularly relevant for students and researchers interested in low-cost, adaptive robotic systems and the application of neural networks in autonomous guidance.
Research Focus
Key Achievements
Top Papers
- 1ROBOG: Robo guide with simple learning strategy4 citations · 2014