Mohammad H. Garibeh
Yarmouk University, German Jordanian University, Khalifa University of Science and Technology
Papers
6
Total Citations
157
H-Index
5
About
Mohammad H. Garibeh is a robotics and autonomous systems researcher whose work centers on motion planning, artificial intelligence, and control theory for mobile robots and unmanned aerial vehicles (UAVs). He has made significant contributions to the development of fuzzy potential field methods — innovative approaches that combine fuzzy logic with classical potential field theory to enable robots and drones to navigate complex, dynamic environments in real time. Garibeh's most influential work, "Autonomous Mobile Robot Dynamic Motion Planning using Hybrid Fuzzy Potential Field" (2011), has garnered 112 citations and established him as a notable voice in intelligent robotics. His earlier foundational studies on fuzzy potential fields for mobile robots (2009) helped lay the groundwork for this hybrid framework, demonstrating its effectiveness in handling dynamic obstacles and unpredictable surroundings. More recently, he has extended this expertise into three-dimensional UAV navigation, with publications in 2022 and 2023 addressing collision-free path planning in complex aerial environments using generalized potential force functions and fuzzy systems. Across his career, Garibeh's research has consistently bridged theoretical modeling and practical simulation, offering scalable solutions for autonomous navigation — work that remains highly relevant as robotics and drone applications continue to expand across industry and defense sectors.
Research Focus
Key Achievements
Top Papers
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