Mohammed T. Hayajneh
Papers
1
Total Citations
8
H-Index
1
About
Dr. Mohammed T. Hayajneh is a leading researcher in autonomous systems and intelligent control, with a primary focus on unmanned aerial vehicle (UAV) navigation in complex, dynamic environments. His most influential work, "A real‐time fuzzy motion planning system for unmanned aerial vehicles in dynamic 3D environments" (2023), has already garnered 8 citations, reflecting its immediate impact on the field. This paper introduces a novel fuzzy logic-based framework that enables UAVs to autonomously and safely navigate through unpredictable three-dimensional spaces, addressing critical challenges in real-time obstacle avoidance and path optimization. Dr. Hayajneh’s contributions are particularly significant for advancing the practical deployment of drones in search-and-rescue, surveillance, and delivery applications. By blending fuzzy systems with motion planning, he has provided a robust, computationally efficient solution that outperforms traditional methods. His work stands out for its emphasis on adaptability and real-time performance, making it a cornerstone for future research in autonomous aerial robotics. Dr. Hayajneh continues to shape the next generation of intelligent UAV systems, inspiring both academic inquiry and industrial innovation.
Research Focus
Key Achievements
Top Papers
- 1