Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

A Suite of Ontologies for Robotics and Automation

Published

Author(s)

Sandro R. Fiorini, Julita Bermejo-Alonso, Paulo Goncalves, Edison Pignaton de Freitas, Alberto Olivares Alarcos, Joanna Isabelle Olszewska, Edson Prestes, Craig I. Schlenoff, Veera S. Ragavan, Signe Redfield, Bruce Spencer, Howard Li

Abstract

One of the basic requirements for any type of robot communication (whether with other robots or humans) is the need for a common vocabulary along with clear and concise definitions. With the growing complexity of tasks that robots are expected to perform as well as the need for multi-robot and human-robot collaboration, the need for a standard and well-defined knowledge representation is becoming more evident. The IEEE Standard Association's Robotics and Automation Society (RAS) recognized this need and in 2011, then created the Ontologies for Robotics and Automation (ORA) Working Group. The goal of the group is to develop a standard to provide an overall ontology and associated methodology for knowledge representation and reasoning in robotics and automation, together with the representation of concepts in an initial set of application domains.
Citation
Robotics And Automation Magazine
Volume
24
Issue
1

Keywords

artificial intelligence, AI, robotics, ontologies, knowledge representation, tasks

Citation

Fiorini, S. , Bermejo-Alonso, J. , Goncalves, P. , Pignaton de Freitas, E. , Olivares Alarcos, A. , Olszewska, J. , Prestes, E. , Schlenoff, C. , Ragavan, V. , Redfield, S. , Spencer, B. and Li, H. (2017), A Suite of Ontologies for Robotics and Automation, Robotics And Automation Magazine, [online], https://doi.org/10.1109/MRA.2016.2645444, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=924011 (Accessed April 19, 2024)
Created March 23, 2017, Updated October 12, 2021