Latifah Munirah Kamarudin
Papers
16
Total Citations
183
H-Index
9
About
Dr. Latifah Munirah Kamarudin is a leading researcher in mobile robotics, olfaction, and autonomous navigation, whose work bridges the gap between robotic sensing and real-world environmental challenges. Her most significant contribution is the pioneering integration of Simultaneous Localization and Mapping (SLAM) with Gas Distribution Mapping (SLAM-GDM), enabling robots to localize gas sources in real time—a breakthrough with 31 citations. She has also advanced indoor mapping by developing methods to convert 3D depth data from Kinect sensors into 2D maps for SLAM, and has explored reinforcement learning for multi-target path planning in unknown environments using 2D LiDAR. Dr. Kamarudin’s research on the cross-sensitivity of metal oxide gas sensors to temperature and humidity has been critical for improving gas distribution mapping accuracy. Her work on behavior-based robots combining “sense of smell and sight” for odor source localization has garnered significant attention, alongside her development of scalable testbeds for mobile olfaction verification. With over 150 citations across her top papers, Dr. Kamarudin’s contributions are foundational for autonomous systems operating in dynamic, sensor-rich environments, making her a key figure in the fields of mobile olfaction and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Method to convert Kinect's 3D depth data to a 2D map for indoor SLAM31 citations · 2013
- 3Implementation of Behaviour Based Robot with Sense of Smell and Sight17 citations · 2015
- 4
- 5
- 6Mobile robot localization system using multiple ceiling mounted cameras12 citations · 2015
- 7Gas Source Localization using Grey Wolf Optimizer9 citations · 2018
- 8
- 9Development of a Scalable Testbed for Mobile Olfaction Verification9 citations · 2015
- 103D grape bunch model reconstruction from 2D images8 citations · 2023