Rafidah Jamali
Papers
1
Total Citations
7
H-Index
1
About
Rafidah Jamali is a robotics researcher whose work centers on autonomous mobile robot (AMR) localization and sensor fusion. Her key contributions lie in developing low-cost, robust centimetre-level positioning systems for robots navigating crowded indoor and outdoor environments. Her most-cited paper, "Towards Modelling Autonomous Mobile Robot Localization by Using Sensor Fusion Algorithms" (2020), with 7 citations, describes foundational experiments that integrate multiple sensor inputs to achieve precise localization without expensive hardware. This work addresses a critical challenge in real-world robotics: maintaining accuracy in dynamic, cluttered spaces where GPS is unreliable. Jamali’s research has practical implications for logistics, warehouse automation, and service robots, where reliable navigation is essential. By focusing on sensor fusion—combining data from cameras, LiDAR, and inertial sensors—she advances the feasibility of affordable, scalable AMR systems. Her work is particularly notable for its emphasis on real-world testing and cost-effectiveness, making advanced robotics more accessible to smaller industries and research groups. Jamali’s contributions continue to influence the development of resilient, autonomous systems that can operate safely alongside humans.
Research Focus
Key Achievements
Top Papers
- 1