Juan-Carlos Trujillo
Papers
6
Total Citations
67
H-Index
5
About
Juan-Carlos Trujillo is a robotics and autonomous systems researcher whose work centers on simultaneous localization and mapping (SLAM), unmanned aerial vehicles (UAVs), and computer vision-based navigation. His research tackles one of the most pressing challenges in autonomous robotics: enabling UAVs and mobile robots to accurately localize themselves and perceive their environments without relying on GPS — a capability critical for operations in GPS-denied or complex outdoor settings. Trujillo's most notable contributions lie in cooperative multi-UAV systems, where teams of aerial robots collaboratively perform SLAM using visual sensing alone. His 2020 paper on monocular visual SLAM for cooperative UAV–target systems has garnered 27 citations, establishing him as a credible voice in GPS-free autonomous navigation. His work spans filtering and optimization-based SLAM approaches, pseudo-stereo vision for 3D object tracking, and observability-theoretic frameworks for multi-agent configurations. More recently, he has extended these methods to nonholonomic mobile robots, broadening the applicability of his research across robotic platforms. With a consistent publication record from 2018 through 2024 and a growing citation footprint, Trujillo represents an emerging researcher making meaningful strides in the intersection of autonomous systems, visual perception, and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1Monocular Visual SLAM Based on a Cooperative UAV–Target System27 citations · 2020
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- 6Control and monocular visual SLAM of nonholonomic mobile robots5 citations · 2024