Towards a Cooperative Knowledge-based Control Agent for a Reconfigurable Manufacturing Plant

This paper presents the mid-term outcome of the Generic Evolutionary Control Knowledge-based mOdule (GECKO) research project, i.e., a layered architecture to implement a cooperative model-based control agent for a Reconfigurable Transportation System (RTSs). A manufacturing plant is here conceived as multiple independent modules to implement alternative inbound logistic systems' configurations. To support this capability of the mechatronic hardware, an integrated solution is proposed using a knowledge-based approach to support a timeline-based planning and control module responsible for managing both the node regular activities and reconfiguration activities. A cooperation layer dedicated to multi-module coordination completes the overall architecture.