In Robotics and Drone applications, StreamRobotics activities and researches are focused in innovative solutions for Guidance Navigation and Control (GNC) systems. We carry out research activities in these different areas:
Unmanned Aircraft Systems for Indoor Applications,
Behavior-Based Unmanned Ground Vehicles.
Both activities are in the framework of a PRIN 2017 Project, Cooperation and REliable Autonomous TEchnologies to Foster Operations Relying on Unmanned Aircraft Systems (CREATEFORUAS), in collaboration with Prof. G. Fasano, UniversitĂ Federico II, and with Dr. A. Mancini, UniversitĂ Politecnica delle Marche.
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
Design of computationally efficient algorithms, able to be easily translated to on board software and deployed on commercial autopilot board
Simulation framework to emulate the UAV behavior and avoid problems during flight/experimental tests
Involved People: Davide Carminati, Iris Du Mutel. Scientific coordination: Elisa Capello. In collaboration with Flight Mechanics Research Group.
Development of Machine Learning algorithms in the framework of behavior-based robotics on low-power and efficient hardware
Design of algorithms exploiting vision sensors for enhancing robot versatility
Implementation and testing of Deep Reinforcement Learning algorithms in simulation (ROS/Gazebo) and in real-world scenarios
Design of intelligent robotic systems for multi-purpose missions
Involved People: Davide Carminati, Iris Du Mutel, Enza Trombetta. Scientific coordination: Elisa Capello.