An Ontology-driven Dynamic Knowledge Base for Uninhabited Ground Vehicles
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(Published version)
Date
2025
Authors
Win, H.S.
Walters, A.
Lim, C.-C.
Webber, D.
Leslie, S.
Doan, T.
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Conference paper
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Proceedings of the Australasian Conference on Robotics and Automation, 2025, pp.1-10
Statement of Responsibility
Hsan Sandar Win, Andrew Walters, Cheng-Chew Lim, Daniel Webber, Seth Leslie, Tan Doan
Conference Name
Australasian Conference on Robotics and Automation (ACRA) (1 Dec 2025 - 3 Dec 2025 : Perth, Australia)
Abstract
In this paper, the concept of Dynamic Con- textual Mission Data (DCMD) is introduced to develop an ontology-driven dynamic knowledge base for Uninhabited Ground Vehicles (UGVs) at the tactical edge. The dynamic knowl- edge base with DCMD is added to the UGVs to: support enhanced situation awareness; im- prove autonomous decision making; and facili- tate agility within complex and dynamic envi- ronments. As UGVs are heavily reliant on the a priori information added pre-mission, unex- pected occurrences during a mission can cause identification ambiguities and require increased levels of user input. Updating this a priori information with contextual information can help UGVs realise their full potential. To ad- dress this, the dynamic knowledge base was designed using an ontology-driven representa- tion, supported by near real-time information acquisition and analysis, to provide in-mission on-platform DCMD updates. This was imple- mented on a team of four UGVs that executed a laboratory based surveillance mission. The re- sults showed that the ontology-driven dynamic representation of the UGV operational environ- ment was machine actionable, producing con- textual information to support a successful and timely mission, and contributed directly to the situation awareness.
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© Copyright The Author(s)