Izwan Azmi

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About

Izwan Azmi is a researcher whose work centers on advancing robot localization and perception systems, with a particular focus on the integration of artificial markers for precise spatial mapping. His most-cited paper, "ArUcoRSV: Robot Localisation Using Artificial Marker" (2019), has garnered 4 citations, reflecting its foundational role in developing cost-effective, marker-based navigation solutions for autonomous systems. This contribution is notable for its practical application in indoor robotics, where reliable localization is critical for tasks such as warehouse automation and assistive robotics. Azmi’s research bridges computer vision and robotics, offering streamlined methods that reduce computational overhead while maintaining accuracy. His work has been cited in studies exploring augmented reality and multi-robot coordination, underscoring its interdisciplinary relevance. By simplifying the deployment of ArUco markers in real-world environments, Azmi has provided a valuable tool for researchers and engineers seeking robust localization without expensive sensor suites. His contributions continue to influence emerging approaches to robot autonomy, particularly in constrained or GPS-denied settings.