Fabio Andrade
Papers
9
Total Citations
180
H-Index
7
About
Fabio Andrade is a prominent robotics and autonomous systems researcher whose work sits at the intersection of unmanned aerial vehicles (UAVs), intelligent control systems, and multi-robot collaboration. His research has made significant contributions to UAV flight stability, pioneering fuzzy gain-scheduling and cascaded-PID control architectures that address the inherently complex, nonlinear dynamics of aerial platforms — work that has collectively attracted over 79 citations. Andrade has advanced autonomous UAV applications across critical real-world domains, including onshore pipeline inspection, maritime search-and-rescue, and solar farm monitoring, leveraging computer vision and deep learning frameworks such as YOLOv5. His more recent investigations push the boundaries of multi-robot systems, developing heterogeneous UAV-UGV collaboration strategies for dynamic coverage path planning and cognitive swarm architectures like ARCog-NET. Notably, his 2022 paper on fuzzy gain-scheduling PID controllers stands as his most influential contribution, with 49 citations, reflecting its broad adoption by the autonomous systems community. Through rigorous simulation environments and real-world deployments, Andrade consistently bridges theoretical control design with practical autonomous mission execution, establishing himself as a key voice in next-generation robotic systems research.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers49 citations · 2022
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9