Muhammad Irfan Aziz

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Muhammad Irfan Aziz is a leading researcher in mobile robotics, with a primary focus on autonomous navigation and sensor fusion. His most cited work, "An RPLiDAR based SLAM equipped with IMU for Autonomous Navigation of Wheeled Mobile Robot" (2020, 8 citations), addresses a critical challenge in robotics: enabling accurate navigation in environments where external mapping aids, like GPS, are unavailable. Dr. Aziz’s major contribution lies in developing a robust Simultaneous Localization and Mapping (SLAM) system that integrates LiDAR data with an Inertial Measurement Unit (IMU). This fusion allows wheeled mobile robots to build precise maps of unknown spaces while simultaneously tracking their own position, a fundamental requirement for modern autonomous systems. By demonstrating the practical application of cost-effective RPLiDAR sensors combined with IMU, his work has provided a scalable solution for indoor and GPS-denied navigation. This research has significant implications for warehouse automation, search-and-rescue operations, and domestic service robots. Dr. Aziz’s work continues to influence the development of more reliable and accessible autonomous navigation technologies, making him a notable contributor to the field of mobile robotics.