ML Anthology

Distributed Situation Awareness for Multi-Agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching

Sagir Muhammad Yusuf, Chris Baber
AAAI 2021 pp. 15740-15741
doi:10.1609/AAAI.V35I18.17867 /aaai/2021/yusuf2021aaai-distributed/

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.

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Cite

Text

Yusuf and Baber. "Distributed Situation Awareness for Multi-Agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17867

Markdown

[Yusuf and Baber. "Distributed Situation Awareness for Multi-Agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/yusuf2021aaai-distributed/) doi:10.1609/AAAI.V35I18.17867

BibTeX

@inproceedings{yusuf2021aaai-distributed,
  title     = {{Distributed Situation Awareness for Multi-Agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching}},
  author    = {Yusuf, Sagir Muhammad and Baber, Chris},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15740-15741},
  doi       = {10.1609/AAAI.V35I18.17867},
  url       = {https://mlanthology.org/aaai/2021/yusuf2021aaai-distributed/}
}