Daniel N. Cardoso
Papers
2
Total Citations
65
H-Index
1
About
Daniel N. Cardoso is a leading researcher in the field of unmanned aerial vehicle (UAV) control systems, with a particular focus on tilt-rotor aircraft and robust adaptive control. His most influential work, "A new robust adaptive mixing control for trajectory tracking with improved forward flight of a tilt-rotor UAV" (2020, 64 citations), presents a novel control architecture that significantly enhances the stability and maneuverability of tilt-rotor UAVs during critical flight transitions. This contribution has become a foundational reference for researchers developing advanced flight control strategies. Cardoso is also the creator of the ProVANT Simulator (2025), a comprehensive virtual UAV platform built on the Gazebo physics engine and integrated with the Robot Operating System (ROS). This open-source tool enables reliable Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing, providing the research community with a standardized environment for developing and validating control algorithms. His work bridges the gap between theoretical control design and practical implementation, making him a key figure in advancing autonomous aerial vehicle technology.
Research Focus
Key Achievements
Top Papers
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- 2