Below are selected publications since the AVAILAB’s foundation in 2016.
The full list of publications by Dr Mauro S. Innocente is available here.
Journal Papers
Under Review
- J.J. Tai, J.K. Terry, M.S. Innocente, J. Brusey, & N. Horri (2022). Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics. Under review (R0) in Journal of Machine Learning Research, Microtome. arXiv:2208.10533.
DOI: 10.48550/arXiv.2208.10533 - J.J. Tai, J. Wong, M.S. Innocente, N. Horri, J. Brusey, & S.K. Phang (2023). PyFlyt—UAV Simulation Environments for Reinforcement Learning Research. Under review (R0) in IEEE Transactions on Robotics.
DOI: 10.48550/arXiv.2304.01305.
Published
- 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. - Z. Zyadat, N. Horri, M.S. Innocente, & T. Statheros (2023). Observer-Based Optimal Control of a Quadplane with Active Wind Disturbance and Actuator Fault Rejection. Sensors 23, no. 4: 1954, MDPI.
DOI: 10.3390/s23041954. - P. Grasso, M.S. Innocente, J.J. Tai, O. Haas, & A.M. Dizqah (2022). Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System. Sensors, 22, no. 23: 9136, MDPI.
DOI: 10.3390/s22239136. - D. Rajput, J.M. Herreros, M.S. Innocente, J. Bryans, J. Schaub, & A.M. Dizqah (2022). Impact of the Number of Planetary Gears on the Energy Efficiency of Electrified Powertrains. Applied Energy, 323, 119531, Elsevier.
DOI: 10.1016/j.apenergy.2022.119531. - 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 - D. Rajput, J.M. Herreros, M.S. Innocente, J. Schaub, & A.M. Dizqah (2021). Electrified Powertrain with Multiple Planetary Gears and Corresponding Energy Management Strategy. Vehicles, 3, 341–356, MDPI.
DOI: 10.3390/vehicles3030021 - 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 - A.M. Dizqah, B.L. Ballard, M.V. Blundell, S. Kanarachos, & M.S. Innocente (2020). A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles. Control Engineering Practice, 95, Elsevier.
DOI: 10.1016/j.conengprac.2019.104256 - 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
Book Chapters
- 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. - P. Grasso, & M.S. Innocente (2022). Stigmergy-based collision-avoidance algorithm for autonomous firefighting drone swarms. In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore.
DOI: 10.1007/978-981-16-9573-5_19 - J.J. Tai, M.S. Innocente, & O. Mehmood (2022). FasteNet: A Fast Railway Fastener Detector. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore.
DOI: 10.1007/978-981-16-2377-6_71. - M.S. Innocente (2021). Particle Swarms Reformulated towards a Unified and Flexible Framework. In: Tan Y., Shi Y. (eds.) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science, vol 12689. Springer, Cham.
DOI: 10.1007/978-3-030-78743-1_25 - 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
Conference Papers
- P. Grasso, & M.S. Innocente (2020). Debiasing of position estimations of UWB-based TDoA indoor positioning system. In Proceedings of the 2020 UK-RAS Conference: ‘Robots into the Real World’, Lincoln, UK (virtual), 2020.
DOI: 10.31256/Ua2Vp3X - P. Grasso, & M.S. Innocente (2020). Theoretical study of signal and geometrical properties of two-dimensional UWB-based indoor positioning systems using TDoA. In Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, Barcelona, Spain, 2020.
DOI: 10.1109/ICMRE49073.2020.9065121 - 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.
Conference Posters
- D. Rajput, A.M. Dizqah, J.M. Herreros, & M.S. Innocente (2020). Effect of number of planetary gears on fuel consumption and vehicle performance in the hybrid powertrain of a passenger car. Poster session presented at the Future Powertrain Conference, Birmingham, UK.
- M.S. Innocente, & D.J. Rogers (2017). Thermal Modelling and Design Optimisation of DC-DC Converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Loughborough, UK.