Distributed situation awareness for multi-agent mission in dynamic environments: a case study of multi-UAVs wildfires searching

Sagir Muhammad Yusuf, Chris Baber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationThe Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
PublisherAssociation for the Advancement of Artificial Intelligence
Pages15740-15741
Number of pages2
ISBN (Print)9781713835974
Publication statusPublished - 28 May 2021
Event35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online
Duration: 2 Feb 20219 Feb 2021

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
PublisherAAAI
Number18
Volume35
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

Conference35th AAAI Conference on Artificial Intelligence, AAAI 2021
CityVirtual, Online
Period2/02/219/02/21

Bibliographical note

Publisher Copyright:
Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved

Keywords

  • Multi-agent System
  • Multi-agent Learning
  • Situation Awareness
  • Optimisation

ASJC Scopus subject areas

  • Artificial Intelligence

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