SOAR-based sequence control for a flexible assembly cell

Abstract

For a long time self-optimizing production systems have been proposed as a contribution to make production processes more adaptive while keeping them synchronized towards a global goal. As today's industrial automation is identified as a bottle-neck, a control framework which is built around the cognitive platform SOAR is introduced in this paper. The main idea is the provision of a model-based approach to explicitly describe the application task and a control architecture which is able to generate adequate (or even optimal) action-flows to achieve the task. As an illustrative scenario a robot based handling cell is presented.