Mohamad Halwani
Papers
12
Total Citations
210
H-Index
6
About
Mohamad Halwani is an emerging researcher at the forefront of neuromorphic vision, robotic perception, and precision manufacturing automation. His work centers on developing advanced sensing technologies that enable industrial robots and collaborative robots (cobots) to perform high-precision tasks in demanding environments such as aerospace manufacturing. Halwani's most influential contribution, "Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems" (2022, 81 citations), demonstrated how event-based cameras could overcome the limitations of conventional vision systems — particularly motion blur and low frame rates — to achieve exceptional positioning accuracy in robotic drilling. He has further pioneered the integration of neuromorphic vision into tactile sensing, notably through TactiGraph, an asynchronous graph neural network for contact angle prediction, and NeuTac, a zero-shot sim-to-real framework for neuromorphic tactile sensors. His work on vision-based tactile sensors spans design, fabrication, and virtual prototyping, addressing real industrial challenges such as hole normality measurement in aircraft assembly. With over 200 cumulative citations across a focused body of work, Halwani is rapidly establishing himself as a key innovator bridging neuromorphic computing and intelligent robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2Real-time grasping strategies using event camera37 citations · 2022
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