Alia Mohd Azri

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About

Alia Mohd Azri is a researcher advancing the intersection of robotics, geospatial data, and visual analytics. Her primary research areas include 3D LiDAR point cloud processing, Simultaneous Localization and Mapping (SLAM), and human-robot interaction through operating systems. Her most cited work, "Visual analytics of 3D LiDAR point clouds in robotics operating systems" (2020, 8 citations), presents a novel framework for analyzing and visualizing LiDAR-derived point clouds within robotic environments. In this study, she experimentally evaluates SLAM performance using point cloud data, critically identifying key weaknesses in current processing pipelines—such as computational inefficiencies and data sparsity—that hinder real-time robotic navigation. By bridging visual analytics with robotics operating systems, Azri provides actionable insights for improving autonomous mapping and localization. Her work is particularly notable for its practical focus on enhancing the interpretability of complex 3D sensor data, making it accessible for both roboticists and geospatial analysts. Though her citation count is still growing, her contributions are foundational for researchers working on LiDAR-based perception in autonomous systems, offering a clear path toward more robust and efficient SLAM implementations.