Yahya Zweiri

Khalifa University of Science and Technology

Papers

Total Citations

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About

Yahya Zweiri is a prominent researcher specializing in robotics, computer vision, and intelligent sensing systems, with particular expertise in robotic perception, event-based vision, and advanced computing architectures. His work bridges the gap between cutting-edge sensing technologies and practical robotic applications, most notably in the domain of robotic grasping. A standout contribution is his research on efficient event-based robotic grasping perception using hyperdimensional computing, which leverages Dynamic and Active Vision Sensors (DAVIS) to dramatically improve object property inference and grasping quality in industrial settings. This work, already accumulating citations within its first year of publication, reflects the immediate relevance and novelty of his approach. By integrating biologically-inspired sensing with energy-efficient computing paradigms, Zweiri addresses critical real-world challenges such as power consumption and processing speed in robotic systems. His research has earned recognition within the robotics and automation community, positioning him as an influential voice in next-generation robotic perception. Students and researchers exploring the intersection of neuromorphic computing, event-driven sensing, and intelligent robotics will find Zweiri's body of work both foundational and forward-looking.