Towards a Robot Task Ontology Standard

Author:

Balakirsky Stephen1,Schlenoff Craig2,Rama Fiorini Sandro3,Redfield Signe4,Barreto Marcos5,Nakawala Hirenkumar6,Carbonera Joel Luís7,Soldatova Larisa8,Bermejo-Alonso Julita9,Maikore Fatima8,Goncalves Paulo J. S.10,De Momi Elena6,Sampath Kumar Veera R.11,Haidegger Tamás12

Affiliation:

1. Georgia Tech Research Institute, Atlanta, GA

2. National Institute of Standards and Technology, Gaithersburg, MD

3. Université Paris-Est Créteil, Vitry-sur-seine, France

4. Robotistry.org, Pomfret, MD

5. Federal University of Bahia (UFBA), Salvador, Brazil

6. Politecnico di Milano, Milan, Italy

7. Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

8. Brunel University, London, UK

9. Universidad Politécnica de Madrid, Madrid, Spain

10. Instituto Politecnico de Castelo Branco, Castelo Branco, Portugal

11. Monash University, Malaysia Campus, Malaysia

12. Óbuda University, Budapest, Hungary

Abstract

Ontologies serve robotics in many ways, particularly in describing and driving autonomous functions. These functions are built around robot tasks. In this paper, we introduce the IEEE Robot Task Representation Study Group, including its work plan, initial development efforts, and proposed use cases. This effort aims to develop a standard that provides a comprehensive ontology encompassing robot task structures and reasoning across robotic domains, addressing both the relationships between tasks and platforms and the relationships between tasks and users. Its goal is to develop a knowledge representation that addresses task structure, with decomposition into subclasses, categories, and/or relations. It includes attributes, both common across tasks and specific to particular tasks and task types.

Publisher

American Society of Mechanical Engineers

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Enhancing Nuclear Power Plant Operations: An Ontology for Conditional Tasks;Computing in Civil Engineering 2023;2024-01-25

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