Predicate Inserted in RFID Identification System: Case Study applied to the Blocks World

Abstract

With the new industrial revolution grounded in the integration of field devices, databases, and the use of new technologies, more efficient, decentralized, and flexible knowledge representation models are indispensable. The growing use of Artificial Intelligence techniques in online services is still a challenge in industry application as shop floor. This work employs a predicate logic-based system model, and through the partial observed data capture distributed in Radio Frequency Identification components, it performs system planning and control. This proposal is called PRD (Predicate Inserted in RFID Database) and enables automatic replanning of actions as soon as an exception is identified. This article presents the PRD exception analysis on a case study applied to the Blocks World. There are two types of exceptions, namely, static, which arises during the previous data capture, and dynamic, which is generated during action execution. Real examples are presented where an Arduino-controlled Cartesian robot is commanded by a Python application that integrates information with a local or cloud-based automatic planner.