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Adaptive Mission Planning for LIve inFrAstructures Inspection - In collaboration with Mavtech @ www.mavtech.eu
Thesis in external company
keywords DRONES, ROBOTICS, TRAJECTORY PLANNING, UAV
Reference persons GIORGIO GUGLIERI, STEFANO PRIMATESTA
External reference persons Ing. Gianluca Ristorto (gianluca.ristorto@mavtech.eu)
Research Groups 08- Dinamica, controllo e simulazione del volo
Thesis type SIMULATIVE AND EXPERIMENTAL
Description The AMPLIF-AI project aims to create a system based on Artificial Intelligence that will allow inspection teams to evaluate in real time the state of infrastructures in different application cases in the Alpine context.
The following features will be developed:
1) Monitoring system composed of a ground platform (UGV/quadruped) and unmanned aerial vehicles (UAV) supervised by the inspection team.
2) UAV with onboard intelligence to manage navigation and localization sensors and case study-specific sensors
3) Communication infrastructure between UAV, UGC and Ground Station
4) AI modules to identify potential critical situations in the monitored infrastructure
5) Creation of the real-time 3D model of the infrastructure.
The project involves the final validation of a case study.
Required skills Basic knowledge of ROS/ROS2 and Gazebo
Programming skills in C++ (preferred) and Python
Deadline 18/12/2024
PROPONI LA TUA CANDIDATURA