Samad Ramlan
Papers
1
Total Citations
22
H-Index
1
About
Samad Ramlan is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on vision-based systems for mobile robots. His most cited work, "Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review" (2018, 22 citations), provides a comprehensive synthesis of how advancing computing technologies enable safer and more efficient robot navigation in industrial and service sectors. This review has become a foundational reference for researchers developing real-time obstacle detection and path planning algorithms. Ramlan’s contributions lie in bridging theoretical computer vision with practical robotic applications, emphasizing the integration of intelligent systems for dynamic environments. His work is particularly valued for its clear articulation of key technological elements—such as sensor fusion and machine learning—that are critical for robust navigation. With a growing citation record, Ramlan continues to influence the next generation of autonomous systems, making his research essential reading for students and engineers seeking to understand the state of the art in vision-guided mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1