Felipe R. Fabresse
Papers
7
Total Citations
120
H-Index
7
About
Felipe R. Fabresse is a leading researcher in autonomous aerial robotics, with a primary focus on **range-only simultaneous localization and mapping (RO-SLAM)** for unmanned aerial vehicles (UAVs). His work addresses the critical challenge of enabling drones to navigate and map unknown environments without relying on GPS, using only distance measurements from radio or acoustic sensors. Fabresse’s major contributions include pioneering **undelayed 3D RO-SLAM** methods that overcome the computational bottlenecks of traditional approaches, employing **Gaussian-mixture models** and **reduced spherical parametrizations** to efficiently handle the nonlinearities of range data. He has also advanced **decentralized SLAM** for multi-robot teams, allowing swarms of aerial vehicles to collaboratively map an area using only range sensors. His highly cited work (over 120 total citations) integrates **visual markers** and **visual odometry** with range-only techniques, creating robust systems for long-term aerial manipulation and inspection tasks. Notably, his research on **active perception** explores how UAVs can intelligently plan their trajectories to improve mapping accuracy, a key step toward fully autonomous drone operations in GPS-denied environments like indoor facilities or dense forests.
Research Focus
Key Achievements
Top Papers
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- 3Robust Range-Only SLAM for Unmanned Aerial Systems16 citations · 2015
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