Balza Achmad
Papers
1
Total Citations
6
H-Index
1
About
Balza Achmad is a robotics researcher whose work focuses on intelligent navigation systems for mobile robots, particularly through the integration of computer vision and fuzzy logic control. His most-cited paper, "Visual-based fuzzy navigation system for mobile robot: Wall and corridor follower" (2007, 6 citations), introduces a pioneering approach that enables a mobile robot to autonomously navigate corridors and follow walls using a single camera. By employing a Mamdani-type fuzzy logic controller, the system interprets visual cues to detect walls on the left, right, and front of the robot, allowing for smooth, adaptive movement without the need for complex sensors. This work stands as an early and practical contribution to low-cost, vision-based autonomous navigation, laying groundwork for further developments in intelligent robotics. Achmad’s research bridges the gap between simple sensor-based control and more advanced visual perception, offering a scalable solution for indoor mobile robot guidance. His contributions remain relevant for students and researchers exploring fuzzy systems, computer vision, and autonomous navigation in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1