Ali Abdelatif Betouil
Papers
1
Total Citations
12
H-Index
1
About
Ali Abdelatif Betouil is a robotics researcher whose work centers on intelligent navigation systems for autonomous mobile robots. His most-cited paper, "A Fuzzy Navigation Approach Using the Intelligent Lights Algorithm for an Autonomous Mobile Robot" (2023), has garnered 12 citations, reflecting its timely contribution to the field. In this work, Betouil introduces a novel fusion of fuzzy logic with the Intelligent Lights Algorithm, a bio-inspired method that mimics how insects use light cues for pathfinding. This approach enhances a robot’s ability to navigate complex, dynamic environments with greater adaptability and efficiency, addressing key limitations in traditional path-planning algorithms. Betouil’s research bridges theoretical fuzzy control and practical robotic implementation, offering a scalable solution for real-world applications like warehouse automation and search-and-rescue missions. His work is notable for its interdisciplinary nature, combining artificial intelligence, control theory, and robotics to solve pressing challenges in autonomous mobility. As a researcher, Betouil contributes to the growing body of knowledge on intelligent navigation, positioning himself at the forefront of developing more responsive and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1