Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab)

Multidisciplinary laboratory focused on developments and applications within the fields of Mathematical Modelling, Optimisation, Soft & Natural Computing, Self-Organisation & Swarm Robotics, Autonomous Navigation and Positioning Systems.

Selected Publications

Journals

  1. 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.
    DOI: 10.1016/j.camwa.2020.05.009
  2. 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.
    DOI: 10.1016/j.conengprac.2019.104256
  3. 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.
    DOI: 10.1016/j.jocs.2019.04.009
  4. D. James, M.S. Innocente, J. Cherry, D. Carswell, M. Holmes, S. Brown, & N. Lavery (2016). A Methodology for Automated Pellet size Distribution in a Pellet Mill. InImpact: The Journal of Innovation Impact, 7(2), 732-743.
  5. H.U. Levatti, M.S. Innocente, H.D. Morgan, J. Cherry, N. Lavery, S. Mehmood, … & J. Sienz (2016). Computational Methodology for Optimal Design of Additive Layer Manufactured Turbine Bracket. InImpact: The Journal of Innovation Impact, 7(2), 641-652.
  6. M.S. Innocente, S.M.B. Afonso, J. Sienz, & H.M. Davies (2015). Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields. Applied Soft Computing, 34, 463-484. DOI: 10.1016/j.asoc.2015.05.032

Book Chapters

  1. P. Grasso, & M.S. Innocente (2018). Grasso & 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.
  2. J. Sienz, & M.S. Innocente (2010). Individual and social behaviour in particle swarm optimizers. In B. H. V. Topping, J. M. Adam, F. J. Pallarés, R. Bru, & M. L. Romero (Eds.), Developments and Applications in Engineering Computational Technology (pp. 219-243). (Computational Science, Engineering & Technology Series). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/csets.26.10.
  3. J. Sienz, & M.S. Innocente (2008). Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems. In M. Papadrakakis, & B. H. V. Topping (Eds.), Trends in Engineering Computational Technology (pp. 103-126). (Computational Science, Engineering & Technology Series; Vol. 20). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/csets.20.6.

Conferences

  1. 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
  2. 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, 2020.
  3. 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
  4. 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.
  5. 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.
  6. 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, 2017.
  7. M.S. Innocente, D.J. Rogers, & K.R. Choudhury (2015). Optimal filter design for power electronic converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Nottingham, UK, 2015.
  8. C. Pelley, M.S. Innocente, & J. Sienz (2011). Memetic Particle Swarm for Continuous Unconstrained and Constrained Optimization Problems. In Proceedings of the 2011 International Conference on Swarm Intelligence, Cergy, France, 2011.
  9. M.S. Innocente, & J. Sienz (2011). Particle Swarm Optimization with Inertia Weight and Constriction Factor. In Proceedings of the 2011 International Conference on Swarm Intelligence, Cergy, France, 2011.
  10. M.S. Innocente, & J. Sienz (2010). Coefficients’ Settings in Particle Swarm Optimization: Insight and Guidelines. In E. Dvorkin, M. Goldschmit, & M. Storti (Eds.), Mecánica Computacional: Computational Intelligence Techniques for Optimization and Data Modeling (B) (Vol. XXIX, pp. 9253-9269). Asociación Argentina de Mecánica Computacional, Buenos Aires, Argentina, 2010.
  11. C. Pelley, M.S. Innocente, & J. Sienz (2010). Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems. In Proceedings of the 8th ASMO UK Conference on Engineering Design Optimization (pp. 268-279). Association for Structural and Multidisciplinary Optimization in the UK.
  12. M.S. Innocente, & J. Sienz (2010). Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers. In B. H. V. Topping, J. M. Adam, F. J. Pallarés, R. Bru, & M. L. Romero (Eds.), In Proceedings of the 10th International Conference on Computational Structures Technology [123] (Civil-Comp Proceedings). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/ccp.93.123.
  13. F. Fuerle, J. Sienz, M.S. Innocente, J.F.T. Pittman, V. Samaras, & S. Thomas (2008). Ring-Stiffness Evaluation and Optimization of Structured-Wall Polyethylene Pipes. In B. H. V. Topping, & M. Papadrakakis (Eds.), Proceedings of the Ninth International Conference on Computational Structures Technology [254] (Civil-Comp Proceedings). Stirlingshire: Saxe-Coburg Publications. DOI: 10.4203/ccp.88.254.
  14. M.S. Innocente, & J. Sienz (2007). A study of the fundamental parameters of particle swarm optimizers. In Proceedings of the 7th World Congress on Structural and Multidisciplinary Optimization (pp. 735-744). Seoul: International Society for Structural and Multidisciplinary Optimization.
  15. M.S. Innocente, L. Torres, X. Cahís, G. Barbeta, & A. Catalán. (2007). Optimal flexural design of FRP-reinforced concrete beams using a particle swarm optimizer. In Proceedings of the 8th International Symposium on Fiber-Reinforced Polymer Reinforcement for Concrete Structures.
  16. M.S. Innocente, & J. Sienz (2006). Particle Swarm Optimization: Development of a General-Purpose Optimizer. In J. Sienz, O. M. Querin, V. V. Toropov, & P. D. Gosling (Eds.), In Proceedings of the 6th ASMO UK Conference on Engineering Design Optimization (pp. 203-223). Association for Structural and Multidisciplinary Optimization in the UK.
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