Industrial Transformation Training Centres - Grant ID: IC230100001
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end ....ARC Training Centre for Automated Vehicles in Rural and Remote Regions. The Centre will build skills and capability to test and deploy safe, socially acceptable, automated vehicles (AV) for rural, regional and remote Australian public roads, where manufacturing, agriculture, mining and defence industries face significant challenges of driver shortages, rising costs, long distances, rough roads, and environmental impacts. The centre will unite technology providers, regulators, government and end users with world-leading interdisciplinary researchers to create new human-AV systems, datasets, frameworks, case studies, platforms, and a vastly upskilled workforce. This will reduce transport costs, increase capacity, boost supply chain efficiency and resilience, improve road safety, and elevate Australian capability.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
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.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
Industrial Transformation Research Hubs - Grant ID: IH230100013
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Future Digital Manufacturing. This Hub aims to grow and accelerate Australian digital manufacturing (DM) transformation by devising novel DM technology and commercialisation/adoption pathways. The Hub expects to transform industry by developing novel AI and IoT-powered DM technology that provides for dramatic improvement in manufacturing productivity, resilience and competitiveness. Expected outcomes include novel DM technology for digitally representing, predicting, and imp ....ARC Research Hub for Future Digital Manufacturing. This Hub aims to grow and accelerate Australian digital manufacturing (DM) transformation by devising novel DM technology and commercialisation/adoption pathways. The Hub expects to transform industry by developing novel AI and IoT-powered DM technology that provides for dramatic improvement in manufacturing productivity, resilience and competitiveness. Expected outcomes include novel DM technology for digitally representing, predicting, and improving production and its outcomes via an open platform that supports reusing industry co-created DM solutions. Through supporting advanced manufacturing priorities and Industry 4.0, the Hub should provide significant benefits by increasing Australian manufacturing productivity and resilience by 30%.Read moreRead less
How do qualifications delivered by enterprises contribute to improved skill levels and other benefits for companies, workers and the nation? This project investigates the role of employer-based qualifications training in developing the skills and prospects of the Australian workforce and the competitive capabilities of companies. It focuses on enterprises that are accredited to deliver qualifications to their own workers, providing data to improve and expand this form of training.
Crucibles of creativity? Australian universities and path-breaking intellectual work. The project will investigate path-breaking creative work by 60-80 Australians working at home and abroad, focusing on the role of Australian universities in forming creative persons and agendas and providing conditions for (or inhibiting) creativity. The practical question is ‘How might the role of universities in path-breaking work be enhanced?'
The Open Innovation Process: Factors and Technologies that Matter. This project aims to identify approaches to enable firms to find and introduce ideas through open innovation. Open innovation, with its focus on external sources of ideas, is a promising approach for increasing organisational innovation. While uptake of open innovation is on the increase, the lack of understanding of practices and technologies used to successfully introduce it into firms, limits its usefulness and results in wast ....The Open Innovation Process: Factors and Technologies that Matter. This project aims to identify approaches to enable firms to find and introduce ideas through open innovation. Open innovation, with its focus on external sources of ideas, is a promising approach for increasing organisational innovation. While uptake of open innovation is on the increase, the lack of understanding of practices and technologies used to successfully introduce it into firms, limits its usefulness and results in wasted resources. This project aims to investigate open innovation and relevant technologies to identify success factors for the idea generation and assessment phases of open innovation, develop guidelines for their application, identify effective technologies and related recommendations for use, and quantify their impact on innovation.Read moreRead less
Mapping Trusted Systems Technologies to E-security Requirements. A new software based approach, strongly guided by national and international security standards based upon mandatory access control, is required to simplify for management the protection of their information infrastructure. This will be in the form of a security definition toolset aligned to trusted systems technologies currently under consideration internationally. No such trusted system has been developed to address current comme ....Mapping Trusted Systems Technologies to E-security Requirements. A new software based approach, strongly guided by national and international security standards based upon mandatory access control, is required to simplify for management the protection of their information infrastructure. This will be in the form of a security definition toolset aligned to trusted systems technologies currently under consideration internationally. No such trusted system has been developed to address current commercial IT product environments. The safety and security of information systems against attack and illicit usage form an essential component of ?National Information Infrastructure Protection (NIIP)?, a move to better ?e-security?. Existing commercial (untrusted) operating systems lack the critical security bases for e-security making e-applications vulnerable to tampering and bypass which can cause failures in overall system security.Read moreRead less