Aqilah Baseri Huddin
Papers
5
Total Citations
430
H-Index
4
About
Dr. Aqilah Baseri Huddin is a leading researcher in autonomous robotics, LiDAR technology, and engineering education. Her work centers on advancing perception and navigation systems for mobile robots, with a particular focus on LiDAR-based solutions. Her most impactful contribution is the highly-cited survey "A Survey on LiDAR Scanning Mechanisms" (2020, 387 citations), which has become a foundational reference for researchers and engineers working on LiDAR for autonomous driving, robotics, and remote sensing. She has also developed practical algorithms for autonomous navigation, including an automated 3D scanning approach using depth cameras for door detection in indoor environments and a GA-based optimisation framework for LiDAR feedback navigation systems. Her recent work on frontier-based exploration strategies addresses the challenge of efficient autonomous area mapping. Beyond hardware and algorithms, Dr. Huddin is committed to strengthening engineering education, demonstrating through experiential robotics projects how hands-on learning can bridge the gap in programming skills among undergraduate students. Her research portfolio, spanning from foundational surveys to applied navigation systems and pedagogical innovation, reflects a dedication to both advancing autonomous systems and nurturing the next generation of engineers.
Research Focus
Key Achievements
Top Papers
- 1A Survey on LiDAR Scanning Mechanisms387 citations · 2020
- 2An automated 3D scanning algorithm using depth cameras for door detection17 citations · 2015
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