IEEE Standard for Autonomous Robotics (AuR) Ontology

Abstract

New IEEE Standard – Active. This standard extends IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics and Automation, to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR). This standard is general and can be used in many ways–for example, to specify the domain knowledge needed to unambiguously describe the design patterns of AuR systems; to represent AuR system architectures in a unified way; or as a guideline to build autonomous systems consisting of robots operating in various environments. © Copyright 2022 IEEE

Scope

This standard is a logical extension to IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics and Automation. The standard extends the core ontology for robotics and automation (CORA) ontology by defining additional ontologies appropriate for Autonomous Robotics (AuR) relating to the following: a) The core design patterns specific to AuR in common robotics and automations (R&A) sub-domains b) General ontological concepts and domain-specific axioms for AuR c) General use cases and/or case studies for AuR © IEEE 2022 All rights reserved.

Purpose

The purpose of the standard is to extend the CORA ontology to represent more specific concepts and axioms that are commonly used in autonomous robotics. The extended ontology specifies the domain knowledge needed to build autonomous systems comprised of robots that can operate in all classes of environments. The standard provides a unified way of representing autonomous robotics system architectures across different R&A domains, including, but not limited to, aerial, ground, surface, underwater, and space robots. This allows unambiguous identification of the basic hardware and software components necessary to provide a robot, or a group of robots, with autonomy, i.e., endow robots with the ability to perform desired tasks in all classes of environments without continuous explicit external guidance. © IEEE 2022 All rights reserved.

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