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This paper proposes a closed-loop decentralised framework for swarm distribution guidance, which disperses homogeneous agents over bins to achieve a desired density distribution by using feedback gains from the current swarm status. The key difference from existing works is that the proposed framework utilises only local information, not global information, to generate the feedback gains for stochastic...
This paper addresses a multi-robot task assignment problem with heterogeneous agents and tasks. Each task has a different type of minimum workload requirement to be accomplished by multiple agents, and the agents have different work capacities and costs depending on the tasks. The objective is to find an assignment that minimises the total cost of assigned agents while satisfying the requirements...
This paper addresses frequency assignment for multiple UAVs cooperating on a communication network. In order to directly consider channel interference, this paper proposes to formulate the frequency assignment problem based on a game theoretical framework. Then, a frequency assignment algorithm is developed for the frequency channel assignment problem for networked UAVs. The performance of the proposed...
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