Intelligent Personalized Simulators for Enhanced Training and Prototyping. This research aims to solve the fundamental problems of driving and flight simulators by developing new motion cueing algorit

Description

Intelligent Personalized Simulators for Enhanced Training and Prototyping. This research aims to solve the fundamental problems of driving and flight simulators by developing new motion cueing algorithms (MCAs) to realise personalised motion simulators. The research will leverage users’ physiological data and artificial intelligence (AI) models to generate realistic and comfortable ride experiences that current simulators cannot provide. The expected outcomes include ground-breaking advances in AI-based MCAs for improving usability and utility of simulators. Building better motion simulators will improve road and air safety through effective training and lower manufacturing costs through virtual prototyping of new vehicle designs, propelling Australia as a world leader in the emerging field of motion simulation.. Scheme: Discovery Projects. Field: 4607 - Graphics, Augmented Reality and Games. Lead: A/Prof Houshyar Asadi