Mohammad Abuabiah
Papers
3
Total Citations
19
H-Index
3
About
Mohammad Abuabiah is a researcher at the forefront of advanced manufacturing and intelligent robotics, whose work bridges the gap between digital design and physical automation. His key research areas include parametric modeling for additive manufacturing, autonomous robotic systems, and robust industrial robot control. Abuabiah’s major contributions are threefold: he pioneered a novel Parametric Modeling approach for 3D metallic printing, significantly streamlining the creation of complex digital models for laser wire additive manufacturing. He also advanced the field of indoor localization by constructing a unique WiFi-Beacon dataset using a low-cost autonomous robot, a critical resource for training artificial neural networks in 3D location estimation. Most recently, he has developed high-fidelity kinematic and dynamic models for the UR5e robotic manipulator, creating a robust framework for controlling industrial robots under uncertain and disturbed real-world scenarios. With his most cited works accumulating over 19 citations, Abuabiah’s research is not only technically rigorous but also highly practical, providing essential tools and datasets that empower other researchers and engineers to solve real-life automation challenges.
Research Focus
Key Achievements
Top Papers
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