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, Computer Vision, and Positioning Systems.

Autonomous AI-Enabled UAVs for Predictive Maintenance (PdM)

Lead ResearcherDr Mauro S. Innocente
Jun Jet Tai
Dr Nadjim Horri
Prof James Brusey


Early Work

FasteNet: A Fast Railway Fastener Detector

Tracing the Railway Tracks

Derived Publications

  1. 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
  2. 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.
  3. 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.
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