Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching
Keywords:Multi-agent System, Multi-agent Learning, Situation Awareness, Optimisation
AbstractThis 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.
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
The Twenty-Sixth AAAI/SIGAI Doctoral Consortium