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About

Shazmin Aniza Abdul Shukor is a robotics researcher whose work spans mobile robot navigation, environmental mapping, and sensor integration for autonomous systems. With a career marked by consistent contributions to intelligent robotics, her research addresses some of the most challenging problems in the field, including simultaneous localization and mapping (SLAM), robot localization, and hazardous environment monitoring. Her most cited work, "A Mapping Mobile Robot using RP Lidar Scanner" (2015, 35 citations), established her as a credible voice in LiDAR-based environmental mapping, a cornerstone technology for autonomous navigation and search-and-rescue operations. She has further advanced the field through innovative sensor development, most notably the USB-16 ultrasonic sensor bank, which enables real-time 2D and 3D indoor mapping. Her application of K-Nearest Neighbor (KNN) classification and scan matching algorithms for robot localization demonstrates her commitment to bridging algorithmic research with practical robotics challenges. Notably, Shukor has also explored confined space robotics, developing mobile robot systems integrated with electronic nose technology to detect atmospheric hazards in dangerous environments such as tunnels, boilers, and sewage lines. Her gas distribution mapping research further underscores her dedication to safety-critical applications. Collectively, her body of work reflects a researcher deeply invested in making autonomous robots safer, smarter, and more capable in real-world environments.