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Multiple agent systems can be applied to foraging tasks, thus solving this problem in a cooperative intelligent approach using cellular automata modeling. The objective is to construct an algorithm that performs foraging task correctly in Webots EDU simulation platform using robot architecture and also improves the individual controller model of each intelligent agent, using e-Puck devices properly. The proposed communication model has taken into account some cellular automata specifications, such as, the need for parallel synchronization, localization and accuracy of information dependency. After several simulations in Webots EDU, evaluating different approaches, the proposed communication model presented promising results on the parallel multirobot foraging performance being pertinent in intelligent swarm robotics context.

Coordination, Synchronization and Localization Investigations in a Parallel Intelligent Robot Cellular Automata Model that Performs Foraging Task