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Urdarbrunnen: Towar...
Urdarbrunnen: Towards an AI-enabled mission system for Combat Search and Rescue operations
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- Olsson, Ella (författare)
- Saab AB, Järfälla, Sweden.
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- Nilsson, Mikael (författare)
- Saab AB, Linköping, Sweden
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- Bergman, Kristoffer (författare)
- RISE Research Institutes of Sweden AB, Linköping, Sweden
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- de Leng, Daniel, 1988- (författare)
- Linköpings universitet,Artificiell intelligens och integrerade datorsystem,Tekniska fakulteten,Saab AB, Linköping, Sweden,Reasoning and Learning Lab
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- Carlén, Stefan (författare)
- Saab AB, Linköping, Sweden
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- Karlsson, Emil (författare)
- Saab AB, Linköping, Sweden
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- Granbom, Bo (författare)
- Saab AB, Linköping, Sweden
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Saab AB, Järfälla, Sweden Saab AB, Linköping, Sweden (creator_code:org_t)
- Linköping University Electronic Press, 2023
- 2023
- Engelska.
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Ingår i: Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2023). - : Linköping University Electronic Press. - 9789180752749 ; , s. 38-45
- Relaterad länk:
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https://doi.org/10.3...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- The Urdarbrunnen project is a Saab-led exploratory initiative that aims to develop an operator-assisted AI-enabled mission system for basic autonomous functions. In its first iteration, presented in this project paper, the system is designed to be capable of performing the search task of a combat search and rescue mission in a complex and dynamic environment, while providing basic human machine interaction support for remote operators. The system enables a team of agents to cooperatively plan and execute a search mission while also interfacing with the WARA-PS core system that allows human operators and other agents to monitor activities and interact with each other. The aim of the project is to develop the system iteratively, with each iteration incorporating feedback from simulations and real-world experiments. In future work, the capability of the system will be extended to incorporate additional tasks for other scenarios, making it a promising starting point for the integration of autonomous capabilities in a future air force.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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