| KEYWORD |
Feasibility analysis of a Tactical Planner module for a Fixed-Wing Aircraft Team to be integrated with a ROS-based simulator - In collaboration with Leonardo Labs @ Torino OGR
Thesis in external company
keywords DRONES, PATH PLANNING, ROBOTICS
Reference persons GIORGIO GUGLIERI, STEFANO PRIMATESTA
Research Groups 08- Dinamica, controllo e simulazione del volo
Thesis type SIMULATIVE AND EXPERIMENTAL
Description Leonardo is involved in UAV-related research activities through the newly established Leonardo Labs network of research laboratories. The main focus of the Autonomy&HMI research unit is technology scouting for the new Manned-Unmanned Teaming (MuM-T) human-machine collaboration paradigm.
Within the scope of this thesis, the development of a distributed real-time tactical path planning algorithm for fixed-wing aircraft is required. The algorithm on board each agent must be able to produce a path (list of waypoints) given a target position to be reached while respecting the kinematic constraints of the aircraft, avoiding collisions with other team members and passing through No-Fly Zones and high-risk areas.
The algorithm produced will be integrated into the simulation environment developed in-house in the research unit, based on ROS2 and Gazebo.
See also proposta_tesi_path_planner.pdf
Required skills Basic knowledge of ROS/ROS2 and Gazebo
Programming skills in C++ (preferred) and Python
Deadline 25/09/2023
PROPONI LA TUA CANDIDATURA