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

Authors

  • Sagir Muhammad Yusuf University of Birmingham
  • Chris Baber University of Birmingham

Keywords:

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

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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Published

2021-05-18

How to Cite

Yusuf, S. M., & Baber, C. (2021). Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15740-15741. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17867

Issue

Section

The Twenty-Sixth AAAI/SIGAI Doctoral Consortium