Lead Researcher: Dr Mauro S. Innocente
Researchers:
Paolo Grasso
Mohammad Tavakol Sadrabadi
Ioannis Papagiannis
Dr Evangelos Gkanas
Prof Guillermo Rein (and HazeLab)
Figure created by PhD student Mohammad Tavakol Sadrabadi
Sub-Projects
Fire Propagation Modelling (FireProM)
Self-Organisation for Wildfire Suppression
Multi-Agent Collision Avoidance
Efficiency Enhancement of Class-A Foams with Nanoparticles to Fight Wildfires
Derived Publications
- M. Tavakol Sadrabadi, & M.S. Innocente (2023). Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour. Fire, 6, no. 2: 76, MDPI.
DOI: 10.3390/fire6020076. - M. Tavakol Sadrabadi, M.S. Innocente, E.I. Gkanas, & I. Papagiannis (2022). Comparison of the effect of one-way and two-way fire-wind coupling on the modelling of wildland fire propagation dynamics. In: Viegas, D.X., Ribeiro, L.M. (eds.) Advances in Forest Fire Research 2022 (115–121). Imprensa da Universidade de Coimbra.
DOI: 10.14195/978-989-26-2298-9_18. - I. Papagiannis, M.S. Innocente, & E.I. Gkanas (2022). Synthesis and Characterisation of Iron Oxide Nanoparticles with Tunable Sizes by Hydrothermal Method. In Materials Science Forum, 1053, 176–181, Trans Tech Publications Ltd.
DOI: 10.4028/p-0so8ha - P. Grasso, & M.S. Innocente (2022). Stigmergy-based collision-avoidance algorithm for autonomous firefighting drone swarms. Accepted for publication in: Proceedings of fifth International Conference on Computational Vision and Bio Inspired Computing. Advances in Intelligent Systems and Computing, Springer-Nature.
DOI: 10.1007/978-981-16-9573-5_19 - P. Grasso, & M.S. Innocente (2020). Physics-based model of wildfire propagation towards faster-than-real-time simulations. Computers and Mathematics with Applications, 80, 790–808, Elsevier.
DOI: 10.1016/j.camwa.2020.05.009 - M.S. Innocente, & P. Grasso (2019). Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems. Journal of Computational Science, 34, 80–101, Elsevier.
DOI: 10.1016/j.jocs.2019.04.009 - P. Grasso, & M.S. Innocente (2018). A two-dimensional reaction-advection-diffusion model of the spread of fire in wildlands. In Advances in Forest Fire Research 2018 (pp. 334–342). Imprensa da Universidade de Coimbra.
DOI: 10.14195/978-989-26-16-506_36 - M.S. Innocente, & P. Grasso (2018). Swarm of autonomous drones self-organised to fight the spread of wildfires. In Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting (Vol. 2146), L’Aquila, Italy, 2018. CEUR.
- M.S. Innocente, & P. Grasso (2018). Proof-of-Concept Swarm of Self-Organising Drones Aimed at Fighting Wildfires. In Proceedings of the 2017 UK-RAS Conference: ‘Robots Working for and among Us’, pp. 102–105, Bristol, UK, 2017.
Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab) 