Sharing Semantic Knowledge for Autonomous Robots: Cooperation for Social Robotic Systems

In social robotic systems, robots interact with humans to collaborate for different tasks. In this paper we consider industrial scenarios, where a shop floor can be reconfigured and specific tasks can be assigned to robots that operate as assistants to human operators. We propose to use a Knowledge Representation approach to describe the human-robot interaction. In particular, the conceptual framework based on the GeneralizedWorld Entities paradigm is adopted to capture both the physical entities of the system and events, situations, behaviours as well as the relationships among them. The paper applies the methodologies to some real case studies of the Kleeman manufacturer to automated bending machine procedures and intra-shop floor transportation with automated guided vehicles.