Muhammed Emmadeddine
Papers
1
Total Citations
29
H-Index
1
About
Muhammed Emmadeddine is a robotics and intelligent control researcher whose work focuses on autonomous navigation and fuzzy logic systems. His most influential contribution, "A Hierarchical Fuzzy Control Design for Indoor Mobile Robot" (2014), with 29 citations, presents a novel motion control framework that integrates fuzzy logic with stereo vision-based path planning. This approach enables mobile robots to navigate complex, unknown indoor environments by employing intuitive fuzzy rules, allowing for adaptive and robust maneuverability without requiring pre-mapped surroundings. Emmadeddine’s research addresses critical challenges in autonomous robotics, particularly the need for real-time decision-making under uncertainty. By combining hierarchical control architectures with vision sensing, his work has practical implications for service robots, warehouse automation, and assistive technologies. His contributions demonstrate a strong emphasis on computational intelligence methods to enhance robot autonomy, making his research valuable for students and engineers developing navigation systems for unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1A Hierarchical Fuzzy Control Design for Indoor Mobile Robot29 citations · 2014