Deployment of Ontologies as Knowledge Reasoning Technique for Making Autonomous Robots: A Survey

Knowledge Representation and Reasoning (KR & R) is a burgeoning subject in the realm of Artificial Intelligence. Its primary objective is to depict data pertaining to a certain field, especially for use in path planning applications. Utilising ontology-based methods for knowledge representation and reasoning enhances understanding of the environment for task processing. Ontology is a valuable instrument for gathering knowledge pertaining to the environment, events, and actions. This enhances the efficacy of path planning and the autonomy of robots. Knowledge reasoning approaches are essential for dynamically deducing novel conclusions, particularly in non-deterministic situations. This work thoroughly investigates the process of representing information using ontology and analyses reasoning techniques that play a vital role in path planning. Furthermore, we offer a comprehensive analysis of several planned domain description dialects, ontology editors, developers, and robot simulations systems in the subsequent sections.