Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this ....Community Self-determination in the Era of Automated Home Delivery Systems. Urban environments in Australia and internationally are on the cusp of major disruption resulting from impending proliferation of home delivery services using autonomous vehicles in the form of trucks, shuttles, bots, and drones. As witnessed in the case of ride-share services, socio-technical changes can permeate society before effective regulation is introduced unless swift anticipatory action is taken. The aim of this project is to deliver the critical information inputs required to empower and protect communities in a future characterised by the widespread use of automated product deliveries. Outputs will include modelled scenarios and negotiated policy recommendations that reflect meaningful community consultation.Read moreRead less
Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less