Nazlee Azmeer Masuan
Papers
1
Total Citations
8
H-Index
1
About
Nazlee Azmeer Masuan is a robotics researcher specializing in autonomous navigation, with a focus on Simultaneous Localization and Mapping (SLAM) algorithms for challenging environments. Her most cited work, "SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths" (2025), systematically evaluates how visual and LiDAR-based SLAM systems perform under real-world constraints—specifically uneven terrain, changing light conditions, and varying path lengths. This contribution is critical for advancing robot autonomy in unstructured outdoor settings, where traditional SLAM often fails. By providing empirical benchmarks, her research helps engineers select robust navigation solutions for applications like search-and-rescue, agricultural robotics, and planetary exploration. With 8 citations already in a short time, her work is gaining traction among researchers tackling field robotics challenges. Masuan’s studies bridge the gap between theoretical SLAM models and practical deployment, making her a rising voice in the robotics community. Her findings underscore the importance of sensor fusion and adaptive algorithms in achieving reliable autonomy beyond controlled lab environments.
Research Focus
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Top Papers
- 1