Aliya Hasanah Binti Mohd Mushin

Universiti Teknologi MARA

Papers

1

Total Citations

8

H-Index

1

About

Aliya Hasanah Binti Mohd Mushin is a researcher advancing the field of autonomous robotics, with a primary focus on simultaneous localization and mapping (SLAM) using 3D point cloud data. Her most cited work, a 2019 simulation study, demonstrates how LiDAR-based SLAM can be effectively modeled and understood through virtual environments, simplifying the learning curve for complex localization algorithms. This contribution is particularly valuable for students and early-career engineers, as it reduces the need for costly hardware during algorithm development. With 8 citations on this foundational paper, her research has already begun to influence how SLAM systems are taught and prototyped. By bridging simulation and real-world application, Aliya’s work supports the broader goal of making autonomous navigation more accessible and efficient. Her achievements highlight a commitment to both technical rigor and educational impact, positioning her as a promising voice in robotics and spatial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Simulation of simultaneous localization and mapping using 3D point cloud data
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universiti Teknologi MARA

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago