Deddy El Amin
Papers
1
Total Citations
3
H-Index
1
About
Deddy El Amin is a researcher in robotics and sensor-based localization, with a focus on advancing LiDAR technology for autonomous navigation. His key research areas include adaptive algorithm development for room sensing, breakpoint detection, and robot localization in indoor environments. His most-cited work, "Development of Adaptive Line Tracking Breakpoint Detection Algorithm for Room Sensing using LiDAR Sensor" (2022), introduces a novel algorithm that enhances the accuracy of corner detection in rooms—a critical component for LiDAR-based robot mapping and localization. By improving upon traditional breakpoint detection methods, his algorithm enables more reliable spatial perception, directly impacting the efficiency of autonomous systems. With 3 citations, this work demonstrates early influence in the field, particularly for researchers refining sensor-driven navigation. El Amin’s contributions are notable for addressing practical challenges in real-world robotics, bridging the gap between theoretical sensor algorithms and deployable solutions. His research holds promise for applications in service robots, autonomous vehicles, and smart environment sensing, marking him as an emerging voice in intelligent systems and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1