Context Presentation

Soon, Air Traffic Control (ATC) will have to cope with a radical change in the structure of air transport. Apart from the increase in traffic that will push the system to its limits, the insertion of new aerial vehicles such as UAVs into the airspace, with different flight performances, will increase its heterogeneity. Previous work investigated the collision avoidance management problem using a decentralized distributed approach. To do so, an autonomous and generic multi-agent system has been proposed to address this complex problem.

The aim of this work is to test the genericity of the proposed multi-agent system (CAAMAS), already tested in simulation with airplanes, using it with real drones in ENAC’s drone aviary. Work carried out during the semester has allowed 1) to interface CAAMAS with ENAC drone software, Paparazzi UAV, 2) ease scenarists work by creating a user friendly interface to generate flight plans, 3) make CAAMAS easier to use by creating some configuration interfaces.Further work will focus on the trajectories modification of the agents to take into account the specificity of the UAV’s.

 s8EEGmWF4yBCLkcS1i2G8yg - Augustin Degas


Autonomous UAV; Multi-Agent System; Self-Avoidance ; Self-Adaptation ; Artificial Intelligence ;

Scientific goals

•    Self-Organization of an autonomous vehicles trafic