Multi-agent blackboard architecture for a mobile robot

In the paper, the architecture of a mobile robot cooperating with other robots and some stationary devices in a task of collective perception and world modelling is considered. We analyze data-driven processing of information performed by an individual robot treated as an agent and we propose to organize it as a set of experts (also treated as agents) exchanging data by means of a blackboard. We analyze functions performed by the blackboard agents and present results of preliminary experiments with real robots.

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