| KEYWORD |
Feasibility analysis of a Trajectory Planner for a Fixed Wing Aircraft Team to be integrated into a ROS-based simulator - In collaboration with Leonardo Labs @ Torino OGR
Thesis in external company
keywords DRONES, ROBOTICS, TRAJECTORY PLANNING, UAV
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.
As part of this thesis, the development of a distributed real-time trajectory planning algorithm for fixed-wing aircraft is required. The algorithm on board each agent must be able to follow a set of waypoints 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 research unit's internally developed simulation environment based on ROS2 and Gazebo.
See also proposta_tesi_trajectory_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