Fahad Almaskari
Papers
8
Total Citations
147
H-Index
5
About
Fahad Almaskari is a researcher at the forefront of robotic perception and precision manufacturing, specializing in machine vision, neuromorphic sensing, and vision-based tactile sensors for industrial automation. His work addresses critical challenges in enabling robots and collaborative robots (cobots) to perform high-precision operations, particularly in demanding aerospace manufacturing environments. Almaskari's most impactful contribution, "Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems" (2022), has garnered over 81 citations, demonstrating the significance of applying neuromorphic vision technology to overcome the limitations of conventional cameras in dynamic industrial settings. This pioneering work established a new paradigm for intelligent robotic control in unstructured environments. Beyond neuromorphic approaches, Almaskari has made substantial contributions to the development of elastomer-based and vision-based tactile sensors (VBTS), enabling robots to achieve precise normality and positional measurements essential for aerospace assembly. His research into virtual prototyping and additive manufacturing techniques, including direct ink writing for VBTS fabrication, represents a significant advancement in sensor design efficiency, reducing fabrication time by 76%. With a growing body of work accumulating over 140 citations, Almaskari is emerging as an influential figure in smart manufacturing, robotic sensing, and Industry 4.0 automation technologies.
Research Focus
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