Norhidayah Mohamad Yatim
Technical University of Malaysia Malacca, Universiti Teknologi MARA, MIMOS (Malaysia)
Papers
8
Total Citations
62
H-Index
5
About
Norhidayah Mohamad Yatim is a robotics researcher whose work centers on solving the Simultaneous Localization and Mapping (SLAM) problem—a fundamental challenge in autonomous navigation. Her primary contributions lie in advancing Rao-Blackwellized Particle Filter (RBPF) algorithms, particularly for use with low-cost sensors. Recognizing that high-end sensors are often prohibitively expensive, Yatim has pioneered methods to integrate neural networks with RBPF to handle noisy measurements from affordable proximity, infrared, and laser distance sensors, making SLAM more accessible for real-world applications. Her research also extends to automated mapping for underground pipeline inspection, addressing a critical need in infrastructure monitoring. With her most-cited paper, "PARTICLE FILTER IN SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM) USING DIFFERENTIAL DRIVE MOBILE ROBOT" (2015, 15 citations), and a growing body of work that includes performance evaluations on uneven terrain and under varying illuminance, Yatim has accumulated over 60 citations. Her innovative fusion of neural networks with probabilistic filtering demonstrates a clear trajectory toward robust, cost-effective robotic navigation, positioning her as a key contributor to practical SLAM solutions.
Research Focus
Key Achievements
Top Papers
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- 2Automated mapping for underground pipelines: An overview13 citations · 2014
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