Dual IMU Sensor Fusion AHRS
2026MATLAB and Python framework for quaternion attitude estimation with single- and dual-IMU sensor fusion.
Control systems engineer and roboticist
I am a Control Systems Engineer and Roboticist who turns control theory into reliable, field-ready systems. I focus on aerial robotics, intelligent control, multi-agent systems and decentralized cognition.
M.Sc Control Systems Engineering, University of Padova
I design end-to-end experiments that move from simulation to flight tests: sensor fusion and pose estimation feed into cascaded control stacks; controllers are validated in simulation, bench tests, and on-vehicle trials with attention to safety, repeatability, and clear documentation.
OpenSource approach: I try my best to develop better and better software. I develop modular, efficient, and affordable software - MATLAB, Python, C/C++ libraries and drivers designed for low overhead and easy integration. My projects use permissive licensing, concise examples, and automated tests to lower the barrier to entry and enable real-world adoption by hobbyists and practitioners alike or at least try my best doing it.
Read the full biographyA few representative projects from the full catalog.
MATLAB and Python framework for quaternion attitude estimation with single- and dual-IMU sensor fusion.
Euler-Lagrange modelling toolbox for serial manipulators, built for Robotics and Control 1.
Robotics and Control 1 MATLAB/Simulink framework for Kinova Gen3 control with ManiDyn dynamics and advanced controllers.
MATLAB simulation suite for Olfati-Saber flocking algorithms and the Boids model, with tracking and obstacle avoidance.
Two complementary educational projects for mastering optimization and automatic differentiation in ML.
A browser-based waypoint mission planner for DJI drones.