Yassin Abdelrasoul
Papers
1
Total Citations
76
H-Index
1
About
Yassin Abdelrasoul is a robotics researcher whose work focuses on the practical optimization of Simultaneous Localization and Mapping (SLAM) for indoor mobile robots. His most influential contribution, "A quantitative study of tuning ROS gmapping parameters and their effect on performing indoor 2D SLAM" (2016, 76 citations), systematically investigates how parameter tuning in the widely-used ROS gmapping package can dramatically improve mapping accuracy and computational efficiency. This study provides a crucial, data-driven methodology for reducing SLAM complexity, enabling low-cost robotic platforms to achieve reliable autonomous navigation. By demystifying the often opaque parameter selection process, Abdelrasoul’s work has become a foundational reference for researchers and engineers developing cost-effective SLAM applications. His research bridges the gap between theoretical SLAM algorithms and real-world deployment, emphasizing the commercial potential of lightweight, optimized mapping solutions. Through this quantitative framework, he has empowered a generation of roboticists to build more robust and accessible indoor navigation systems, solidifying his impact on the field of practical robotics.
Research Focus
Key Achievements
Top Papers
- 1