Papers
2
Total Citations
4
H-Index
2
About
Brahim Hilali is a robotics researcher whose work focuses on solving one of the field’s most persistent challenges: autonomous mobile robot navigation. His research centers on the development of intelligent control systems, particularly through the application of neuro-fuzzy and adaptive neuro-fuzzy inference system (ANFIS) approaches. Hilali’s major contributions include pioneering an expertise-based guidance technique that significantly improves the reactive navigation of three-wheel differential-drive mobile robots. His 2023 paper, “An intelligent ANFIS mobile robot controller Using an expertise-based guidance technique,” and his 2024 work, “An efficient strategy for optimizing a neuro-fuzzy controller for mobile robot navigation,” each have garnered 2 citations, establishing a foundation for further exploration in this niche. These studies demonstrate how artificial intelligence can enhance navigation quality for applications spanning medicine, military, space, and agronomy. By optimizing neuro-fuzzy controllers, Hilali is contributing to the development of more reliable, adaptable robots capable of operating in complex, real-world environments. His work represents a meaningful step toward bridging the gap between theoretical AI control systems and practical, deployable robotic solutions.
Research Focus
Key Achievements
Top Papers
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