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About

Norasmadi Abdul Rahim is a robotics researcher whose work centers on mobile robot navigation, sensor processing, and multi-robot coordination. His most influential contribution, "A mapping mobile robot using RP Lidar scanner" (2015, 35 citations), addresses the critical challenge of environment mapping for autonomous navigation and search-and-rescue operations, emphasizing the accuracy and reliability of sensor implementation. Rahim has also advanced the field through his investigation of laser range finder filters for mapping and localization (2016), tackling real-world sensor noise and error that can compromise robot perception. His research extends to swarm robotics, where he developed leader-follower strategies for collaborative multi-robot systems (2015), and to wireless communication for mobile robots using commercial platforms like the E-Puck (2012). Most recently, Rahim has explored embedded intelligence in robotics with his work on an intelligent sumo robot using fuzzy logic (2025), demonstrating real-time opponent detection and motion control on an Arduino Mega platform. His cumulative work bridges fundamental sensor processing challenges with practical applications in autonomous navigation and swarm coordination, making him a notable contributor to the advancement of mobile robotics.