Abdelhakim Latoui
University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
Papers
1
Total Citations
4
H-Index
1
About
Abdelhakim Latoui is a robotics researcher whose work focuses on autonomous navigation and the application of machine learning to mobile systems, particularly in healthcare settings. His most cited paper, "Implementation of Q-Learning Algorithm on Arduino: Application to Autonomous Mobile Robot Navigation in COVID-19 Field Hospitals" (2021, 4 citations), demonstrates a practical integration of reinforcement learning with low-cost hardware for real-world challenges. In this work, Latoui addresses the urgent need for autonomous robots in pandemic response—such as Ultraviolet Disinfection (UVD) robots—by enabling them to navigate dynamic hospital environments without human intervention. His contribution lies in bridging the gap between advanced AI algorithms and accessible embedded systems, making autonomous navigation feasible for resource-constrained settings. While his citation count is modest, the timeliness and societal relevance of his research highlight its potential impact on public health and robotics deployment. Latoui’s work exemplifies how engineering innovation can directly address global crises, offering a scalable solution for autonomous mobile robots in field hospitals and beyond.
Research Focus
Key Achievements
Top Papers
- 1