Air

Unmanned Aircraft Systems for Indoor Applications

Navigation and Control of drones, with particular emphasis on flight strategies under the influence of wind gusts.
Implementation of advanced algorithms for real-time obstacle avoidance and the execution of inspection tasks. 

• Development of a custom open-source autopilot to enable testing and validation of novel GNC algorithms

• Model In the loop (MIL) and Processor in the Loop (PIL) simulations, including identification of the system parameters and state estimation with a dedicated sensor replacing the GPS

• Simulation framework to emulate the UAV behavior and avoid problems during flight/experimental tests

Another core focus of this research is the coordination of multi-agent systems, specifically the collaborative operation between UAVs and ground robots in agricultural environments.
By leveraging the complementary strengths of aerial and ground platforms, the system enhances coverage, responsiveness, and autonomy in precision farming tasks.