Abstract
Rendezvous is a very important ability in military operation since the mission can be preformed effectively by the cooperative action. For autonomous rendezvous of Unmanned Aerial Vehicles (UAVs), task assignment and path planning algorithm are required. This paper proposes a market-based decentralized task assignment algorithm for cooperative UAV mission including rendezvous of multiple UAVs. The proposed algorithm is motivated by collaborator recruitment process composed of six intuitive phases. Then, convergence and the scalability is discussed. Also, the path planning is performed for the rendezvous which is well-matched with the proposed task assignment algorithm, which guarantees the simultaneous arrival at all times. Numerical simulation for two scenarios is performed to verify the effectiveness of the presented algorithm.
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