Muhammad Arif Abdul Rahman
Papers
1
Total Citations
8
H-Index
1
About
Dr. Muhammad Arif Abdul Rahman is a leading researcher in autonomous marine robotics, with a core focus on simultaneous localization and mapping (SLAM), path planning, and collision avoidance for unmanned surface vehicles (USVs). His most cited work, "ROS-based SLAM and Path Planning for Autonomous Unmanned Surface Vehicle Navigation System" (2022, 8 citations), presents a landmark integration of exteroceptive sensors—including a Velodyne 3D VLP32 lidar, Axis pan-tilt-zoom camera, and omnidirectional camera—on the Heron USV platform. This study demonstrates a complete autonomous navigation pipeline, from environmental perception to real-time obstacle avoidance, significantly advancing the practicality of ROS-based systems in maritime settings. Dr. Rahman’s contributions bridge the gap between theoretical SLAM algorithms and field-deployable solutions, offering a robust framework for safe, unmanned operations in dynamic coastal and inland waters. His work has direct implications for environmental monitoring, search-and-rescue missions, and harbor surveillance. By tackling the unique challenges of water-surface reflection and GPS-denied environments, Dr. Rahman is shaping the next generation of intelligent, self-navigating vessels.
Research Focus
Key Achievements
Top Papers
- 1