Mohamad Soffi Abd Razak
Papers
1
Total Citations
8
H-Index
1
About
Dr. Mohamad Soffi Abd Razak is a robotics and autonomous systems researcher whose work centers on simultaneous localization and mapping (SLAM) and 3D point cloud processing. His most cited paper, "Simulation of simultaneous localization and mapping using 3D point cloud data" (2019, 8 citations), demonstrates his focus on developing accessible simulation frameworks that simplify the learning and implementation of complex SLAM algorithms using LiDAR technology. This work is particularly valuable for researchers and students who need to understand and test SLAM methods without the expense and complexity of real-world data collection. Dr. Abd Razak's contributions lie in bridging the gap between theoretical robotics algorithms and practical simulation environments, making advanced localization and mapping techniques more approachable for the research community. His approach emphasizes the pedagogical and developmental value of simulation, enabling faster prototyping and deeper understanding of autonomous navigation systems. Through his focused work on 3D point cloud-based SLAM, Dr. Abd Razak continues to support the growth of robotics education and research in autonomous perception and mapping.
Research Focus
Key Achievements
Top Papers
- 1