Abdul Khaiyum Baharom
Papers
1
Total Citations
7
H-Index
1
About
Abdul Khaiyum Baharom is a researcher advancing the field of autonomous mobile robotics, with a particular focus on robust, low-cost localization systems. His most-cited work, "Towards Modelling Autonomous Mobile Robot Localization by Using Sensor Fusion Algorithms" (2020), tackles a critical challenge in robotics: achieving centimetre-level accuracy for mobile robots operating in crowded indoor and outdoor environments. By integrating multiple sensor inputs, Baharom’s research aims to overcome the limitations of individual sensors, offering a scalable solution for real-world applications like logistics and service robotics. With 7 citations, this foundational study demonstrates his early impact in sensor fusion and autonomous navigation. Baharom’s contributions are especially relevant for developing affordable, reliable robotic systems that can function safely in dynamic, human-populated spaces. His work bridges the gap between theoretical algorithms and practical deployment, making him a notable figure in the growing field of intelligent mobile robotics. For students and researchers, Baharom’s research offers a clear pathway into the challenges of real-time localization and sensor integration.
Research Focus
Key Achievements
Top Papers
- 1