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
A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less
Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are ....Next-generation Navigation by Mega-constellations LEO Satellites. This research will explore a novel positioning approach using new mega-constellations low-earth-orbit satellite communications signals to address a severe limitation of Global Navigation Satellite Systems (GNSS). It will facilitate improved positioning for services that rely on satellite positioning in challenging environments where GNSS signal visibility is limited, and where accurate positioning is needed. Expected outcomes are generating new knowledge in using satellite internet signals for navigation, advancing our satellite positioning capability essential for vital applications such as transport, mining and defence, and developing technologies to increase Australia’s satellite innovation capacity with global scalability.Read moreRead less
Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary p ....Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary processes, and will provide significant benefits, such as aiding the manufacture of efficient autonomous robots.Read moreRead less
Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with ....Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with which to develop novel bio-inspired decision-making processing systems as required in small, autonomous robots. The anticipated benefits of this project will be advances in fundamental neuroscience and animal behaviour and is expected to provide significant value to a fast-developing industrial sector.Read moreRead less
The influence of sway-roll coupling on the dynamics of an inverted sailing yacht in waves. The ability of a sailing yacht to re-right in waves after capsize will influence the safety of those on board in extreme conditions.
The aim of this project is to incorporate the effects of sway-roll coupling into a numerical simulation of the behaviour of an inverted yacht in waves to assess design features which influence re-righting. Experimental work being conducted during 2001 will be extended to ....The influence of sway-roll coupling on the dynamics of an inverted sailing yacht in waves. The ability of a sailing yacht to re-right in waves after capsize will influence the safety of those on board in extreme conditions.
The aim of this project is to incorporate the effects of sway-roll coupling into a numerical simulation of the behaviour of an inverted yacht in waves to assess design features which influence re-righting. Experimental work being conducted during 2001 will be extended to enable the forces on a model of an inverted yacht in a breaking wave to be determined. and incorporated along with theoretical predictions into the simulation.Read moreRead less
Dual input clutchless power-shifting transmission for hybrid vehicles. This project studies a newly proposed clutchless power-shifting transmission (CPT) for hybrid and electric vehicle applications. It aims to design new methods and actuators for power-on gear change to realise the best possible performance of the CPT, and through simulation and experimentation evaluate the system performance and response under both steady state and transient conditions. The proposed transmission is expected to ....Dual input clutchless power-shifting transmission for hybrid vehicles. This project studies a newly proposed clutchless power-shifting transmission (CPT) for hybrid and electric vehicle applications. It aims to design new methods and actuators for power-on gear change to realise the best possible performance of the CPT, and through simulation and experimentation evaluate the system performance and response under both steady state and transient conditions. The proposed transmission is expected to significantly reduce the efficiency losses present in modern vehicles and establish new techniques for achieving gear and mode changes that do not rely on friction clutches. It is anticipated that these novel technologies will provide new direction for developing the next generation of very high efficiency automotive power train technologies.Read moreRead less
Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outco ....Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outcome is a new understanding of the brain as an effective behavioural control system. This will benefit systems and comparative neuroscience. Our findings may also inspire solutions for robotic systems that must operate autonomously in remote and challenging environments such as disaster relief or exploration.Read moreRead less
Cost-effective autonomous systems for large scale monitoring of marine protected areas. This project seeks to develop autonomous technologies that will enable Australia's expanding system of marine protected areas (MPAs) to more effectively preserve marine biodiversity and long term ecosystem function through scalable, cost-effective monitoring. Monitoring will enable MPA managers to assess whether preservation and sustainability goals are being met and to adapt zoning policies in response. Au ....Cost-effective autonomous systems for large scale monitoring of marine protected areas. This project seeks to develop autonomous technologies that will enable Australia's expanding system of marine protected areas (MPAs) to more effectively preserve marine biodiversity and long term ecosystem function through scalable, cost-effective monitoring. Monitoring will enable MPA managers to assess whether preservation and sustainability goals are being met and to adapt zoning policies in response. Australia will benefit from informed sustainable use policies that preserve the marine environment for future generations without unnecessarily restricting recreational and commercial access today.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