Abstract
This thesis focuses attention on achieving Distributed Situation Awareness (DSA) with minimal resources (energy, processing cost, etc.) using small low-capacity agents (e.g., UAVs) coordinated in a decentralised fashion while conducting searching activity. This is in contrast to the existing works involving convoluted communication and information processing.
Cite
CITATION STYLE
Yusuf, S. M., & Baber, C. (2021). Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching. In 35th AAAI Conference on Artificial Intelligence, AAAI 2021 (Vol. 18, pp. 15740–15741). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v35i18.17867
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