L.A Bassora
Papers
1
Total Citations
29
H-Index
1
About
L.A. Bassora is a researcher specializing in robotics and control systems, with a particular focus on automated guided vehicles (AGVs) and computer vision. Their most cited work, "PID control applied on a line-follower AGV using a RGB camera" (2016, 29 citations), introduces a novel control algorithm that uses a PID controller and an RGB camera to enable a unicycle-type AGV to follow a predefined trajectory while minimizing oscillation. This contribution is significant for advancing the precision and stability of autonomous navigation in industrial and research settings. Bassora’s work bridges control theory and practical robotics, demonstrating how camera-based feedback can enhance AGV performance. With 29 citations, this paper has influenced subsequent studies in mobile robotics and control systems. Bassora’s research is valuable for students and engineers interested in integrating classical control methods with modern sensing technologies to solve real-world automation challenges.
Research Focus
Key Achievements
Top Papers
- 1PID control applied on a line-follower AGV using a RGB camera29 citations · 2016