Leandro Arantes Moreira
Papers
4
Total Citations
17
H-Index
3
About
Leandro Arantes Moreira is a robotics researcher whose work centers on visual Simultaneous Localization and Mapping (SLAM), autonomous navigation, and embedded systems for unmanned aerial vehicles (UAVs). His most significant contribution lies in making real-time SLAM feasible on resource-constrained embedded platforms—a critical step for deploying autonomous robots in GPS-denied environments such as disaster zones. His 2020 paper evaluating a visual SLAM solution on embedded hardware has garnered 9 citations, reflecting its practical relevance to the robotics community. Moreira also developed an incremental method for data dimensionality reduction in loop closure detection, improving the efficiency of visual navigation systems. In parallel, he explored UAV path automation using visual waypoints captured from the ground, demonstrating a low-cost approach to autonomous flight. Collectively, his work addresses the computational bottlenecks of SLAM while enabling practical, embedded implementations. Moreira’s research is particularly valuable for search-and-rescue operations, where reliable localization without GPS is essential. His publications, though early in his career, show a clear trajectory toward efficient, real-world robotic autonomy.
Research Focus
Key Achievements
Top Papers
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- 3UAV path automation using visual waypoints acquired from the ground3 citations · 2020
- 4