Papers
7
Total Citations
28
H-Index
3
About
Ahmad Kamal Nasir is a robotics researcher whose work centers on multi-sensor fusion, cooperative localization, and autonomous navigation for mobile and aerial robots. His research addresses fundamental challenges in robot positioning, particularly in indoor and outdoor environments where GPS is unreliable. Nasir’s major contribution lies in developing low-cost, robust estimation algorithms that integrate data from inertial measurement units (IMUs), odometry, Wi-Fi, stereo vision, and gyroscopes to achieve accurate pose estimation and localization. His most-cited paper, "Low cost IMU based indoor mobile robot navigation with the assist of odometry and Wi-Fi using dynamic constraints" (2012, 8 citations), introduces a recursive estimation approach for indoor positioning, demonstrating how affordable sensors can achieve reliable navigation. He has also advanced cooperative SLAM, as seen in "Aerial Robot Localization Using Ground Robot Tracking" (2013, 5 citations), and explored heterogeneous multi-robot systems. With over 28 total citations across his key works, Nasir’s contributions are particularly valuable for students and researchers interested in practical, sensor-fusion-based solutions for autonomous robots, especially in GPS-denied settings. His work on coverage path planning for large-scale aerial mapping (2019) further highlights his ongoing impact in field robotics.
Research Focus
Key Achievements
Top Papers
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- 4Heterogeneous Capability Multi-Robots Cooperative Framework3 citations · 2012
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- 7Coverage Path Planning for Large-Scale Aerial Mapping2 citations · 2019