Lhoussaine Ait Ben Mouh
Papers
2
Total Citations
11
H-Index
2
About
Lhoussaine Ait Ben Mouh is a rising researcher at the intersection of artificial intelligence, robotics, and multi-agent systems. His work focuses on developing efficient pathfinding and trajectory planning algorithms that bridge theoretical optimization with practical, real-world deployment. His most-cited paper, "A Hybrid Approach of Dijkstra’s Algorithm and A* Search, with an Optional Adaptive Threshold Heuristic" (2023, 9 citations), introduces a novel method that intelligently balances computational cost and accuracy, offering a flexible solution for dynamic environments. This contribution is particularly valuable for applications in autonomous navigation and logistics. Building on this, his 2024 study "Ant Trajectory Planning with Multi-agents Collaboration and Computer Vision" explores how swarm intelligence and visual perception can coordinate multiple agents without centralized control, a key challenge in collaborative robotics. Though early in his career, Ait Ben Mouh’s work demonstrates a clear trajectory toward scalable, adaptive systems. His research not only advances algorithmic theory but also provides practical tools for engineers designing next-generation autonomous systems, making him a promising voice in the fields of optimization and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2