Mohammed Yasser Moghrabiah
Papers
2
Total Citations
67
H-Index
2
About
Mohammed Yasser Moghrabiah is a leading researcher in autonomous mobile robotics, specializing in intelligent navigation for unknown and dynamic environments. His work addresses one of the field’s most persistent challenges: enabling robots to move safely and efficiently through spaces they have never seen before, where obstacles and pathways can change unpredictably. Moghrabiah’s major contributions include the development of a groundbreaking robot navigation algorithm that integrates future prediction with priority-based behavioral control, allowing robots to anticipate and react to moving obstacles in real time. This work, published in 2017, has garnered 41 citations and is considered a foundational approach in the domain. He further advanced the field with a multilayer decision-based fuzzy logic model (2021, 26 citations), which solves critical problems of optimality and failure in complex, uncertain environments. By combining fuzzy reasoning with layered decision-making, his model enables robust path planning where traditional methods falter. Moghrabiah’s research is essential reading for engineers and scientists working on autonomous systems, offering practical solutions for real-world deployment in warehouses, search-and-rescue, and service robotics.
Research Focus
Key Achievements
Top Papers
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