Open AccessOntology-based task planning for autonomous unmanned system: framework and principle
Author(s) -
Weijian Pang,
Wenguan Gu,
Hui Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2253/1/012018
Subject(s) - ontology , computer science , task (project management) , field (mathematics) , representation (politics) , knowledge representation and reasoning , autonomy , process ontology , artificial intelligence , systems engineering , software engineering , engineering , domain knowledge , philosophy , mathematics , epistemology , politics , political science , law , pure mathematics
Operational knowledge is an important factor to improve the autonomy of unmanned systems. How to store and represent operational knowledge semantically and normatively, so that unmanned systems can autonomously accomplish task planning according to the high-level order of humans, carry out re-planning, and make decisions has been a new topic in the autonomous unmanned system field. This paper reviews several typical robot ontologies, as well as modeling and representation methods of uncertain information, proposes the concept of Ontology-based Task Planning(OTP) for the unmanned system, and introduces the principles of ontology construction. Finally, the application of ontology in unmanned combat systems are discussed.