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About

Muhammad Fahmi Abdul Ghani is a robotics researcher focused on advancing autonomous navigation and industrial inspection systems. His primary research areas include simultaneous localization and mapping (SLAM), sensor-based obstacle detection, and robotic inspection for power plant infrastructure. Dr. Ghani’s most influential work, “Improvement of the 2D SLAM system using Kinect sensor for indoor mapping” (18 citations), addresses a critical limitation of traditional mobile robots that rely on fixed laser range finders, which can only detect obstacles on a single plane. By integrating the Kinect sensor, his system enables more comprehensive environmental mapping, enhancing robot autonomy in complex indoor spaces. He further extended this concept in “Detecting negative obstacle using Kinect sensor” (13 citations), tackling the challenge of hazards like holes or stairs that conventional sensors miss. In the industrial domain, Dr. Ghani contributed to the design of robotic systems for visual inspection of boiler tube inner surfaces and boiler headers (7 and 4 citations, respectively), improving safety and efficiency in power plant maintenance. His work bridges fundamental SLAM research with practical inspection robotics, demonstrating tangible impact in both academic and applied engineering contexts.