The authors propose a procedure for automatically modeling multi-UAV missions that uses process mining to discover Petri nets through event logs.

IEEE Intelligent Systems

The interest in civilian missions with multiple unmanned aerial vehicles (UAVs) has increased significantly in recent years, but these missions pose multiple challenges related to operator workload and situational awareness. Human-machine interfaces must consider these challenges and control the amount of information flowing to operators. The authors propose a procedure for automatically modeling multi-UAV missions that uses process mining to discover Petri nets through event logs. Specifically, it applies several discovery algorithms, generates and evaluates models, and determines the best among the four.

The authors propose a procedure for automatically modeling multi-UAV missions that uses process mining to discover Petri nets through event logs.

Using Process Mining to Model Multi-UAV Missions through the Experience