A Framework for Robust Sensing in Multi-agent Systems

Andrea Bonarini, Matteo Matteucci, Marcello Restelli

Abstract: We present the framework we have adopted to implement robust sensing in the Milan Robocup F-2000 Team. The main issue concerns the definition of symbolic models both for the single agent and for the whole multi-agent system. Information about physical objects is collected by intelligent sensors and anchored to symbolic concepts. These are used both to control the robots through a behavior-based system, and to improve the global knowledge about the environment.