IEEE Standard for Autonomous Robotics (AuR) Ontology
Howard Li, Paulo Gonçalves, Veera Ragavan, Alberto Olivares‐Alarcos, E. Marcos Barreto, Daniel Beβler, Julia Bermejo, Stefano Borgo, Abdelghani Chibani, Joel Luís Carbonera, Mohammed Diab, Sandro Rama Fiorini, Amélie Gyrard, Maki K. Habib, Alaa Khamis, Koussaila Moulouel, Hirenkumar Nakawala, Bao Nguyen, Chris Nowak, Joanna Isabelle Olszewska
- Year
- 2021
- Citations
- 10
Abstract
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991