AERIAL: hypothetical trajectory planning for multi-UAVs coordination and control

ABSTRACT

This paper presents a distributed application named AERIAL which allows coordination and control of multiple Unmanned Aerial Vehicles (UAVs) engaged in temporally constrained missions. This application combines multiagent paradigm and trajectory planning techniques and relies on a coordination model taking both deliberation and planning durations into account.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

General Terms:
Algorithms

Keywords:
UAV, coordination, multiagent software systems, trajectory planning