Papers
19
Total Citations
294
H-Index
10
About
Meysam Basiri pushes the boundaries of autonomous multi-robot systems, specializing in aerial robotics, swarm intelligence, and sensor-based localization. His pioneering work on audio-based relative positioning for drone teams—garnering over 54 citations—enables small UAVs to estimate teammates’ bearings without relying on GPS or external motion capture, a critical capability for operations in GPS-denied environments. He also developed vision-based systems for autonomous UAV landing on moving ground platforms (41 citations), addressing battery-life limitations through heterogeneous robot cooperation. Basiri’s contributions extend to distributed formation control for fixed-wing MAVs in area coverage missions (23 citations) and a novel bimodal rolling-flying robot for inspecting flat and inclined surfaces (24 citations). His research on emergency acoustic source localization (14 citations) supports search-and-rescue missions in challenging conditions. With over 240 total citations across his top papers, Basiri’s work has been recognized in competitive robotics benchmarks and collaborative 3D reconstruction projects. His recent framework for efficient 3D exploration using distributed multi-UAV teams (2024) integrates frontier-based and next-best-view planning, cementing his role as a leader in autonomous aerial systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1On-Board Relative Bearing Estimation for Teams of Drones Using Sound54 citations · 2016
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- 3Audio-based localization for swarms of micro air vehicles32 citations · 2014
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- 8Localization of emergency acoustic sources by micro aerial vehicles14 citations · 2017
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