Nur Aisyah Syafinaz Suarin

MIMOS (Malaysia), Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

3

Total Citations

18

H-Index

3

About

Nur Aisyah Syafinaz Suarin is a robotics researcher whose work centers on autonomous navigation, Simultaneous Localization and Mapping (SLAM), and mobile robot control. Her most cited paper (2025, 8 citations) provides a critical evaluation of visual and LiDAR-based SLAM algorithms under challenging real-world conditions, specifically examining performance on uneven terrain with varying illuminance and trajectory lengths—a practical contribution to robust robot navigation in unstructured environments. Earlier, she investigated optimization techniques for mobile robot control, demonstrating how Bat Algorithm and Particle Swarm Optimization can tune PID controller parameters for wheeled robots (2019, 7 citations), and tackled system identification and controller design for motion-tracked wheeled platforms (2018, 3 citations). Her work bridges the gap between theoretical control methods and deployment in unpredictable settings, offering valuable benchmarks for researchers developing autonomous ground vehicles. By systematically testing SLAM reliability across environmental variables, Suarin provides actionable insights for improving robot perception and localization in real-world applications, from agricultural robotics to search-and-rescue operations.

Research Focus

Key Achievements

3
H-Index
3
Papers
18
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: MIMOS (Malaysia), Universiti Malaysia Pahang Al-Sultan Abdullah

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago