Use of deterministic AI and a multi-user virtual test environment for drone inspection mission safety
Title: Use of deterministic AI and a multi-user virtual test environment for drone inspection mission safety
Authors: Hirad Goudarzi (University of Bristol); Conor Marsh (University of Manchester); Arthur Richards (University of Bristol); William Crowther (University of Manchester); Ben Parslew (University of Manchester);
Year: 2022
Citation: Goudarzi, H., Marsh, C., Richards, A., Crowther, W., Parslew, B., (2022). Use of deterministic AI and a multi-user virtual test environment for drone inspection mission safety. UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings, 24-25. doi: 10.31256/Vv1Jg2J
Abstract:
Abstract—One of the major challenges of integrating AI in UAV control is the ability of the pilot to effectively interact with the system. Inspired by process-control and vigilance devices, this work employs a predictable and deterministic form of AI to enable single-crew (i.e. pilot) operation in an unconstrained dynamic environment. A multi-user simulation environment was developed in Unity to validate the mission and to train and evaluate pilot-automation interactions. Preliminary simulation results for an inspection case study at the Clifton Suspension Bridge are reported.