Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently ....Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently learn complex interaction and navigation behaviours that transfer to unseen environments. Our research should benefit new applications in domains of economic and societal importance that are currently too complex, unsafe, and uncertain for robot assistants, such as aged care, advanced manufacturing and domestic robotics.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100036
Funder
Australian Research Council
Funding Amount
$4,999,600.00
Summary
ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical ....ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical production, more resilient spacecraft and robust regulatory frameworks. Industries and communities will benefit from a future workforce prepared for safe adoption, development and delivery of emerging techniques and advanced radiation technologies, enhancing Australia’s prosperity and security.Read moreRead less
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the miner ....ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the minerals industry in Australia, through a significant reduction in cost, environmental impact, and through lower energy and water usage. The Centre also seeks to establish a new generation of scientists and research leaders in minerals beneficiation to support the innovation needed into the future by this major Australian industry.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH230100006
Funder
Australian Research Council
Funding Amount
$4,933,330.00
Summary
ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural pr ....ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural producers and new industries to convert the biomass to high-volume renewable products. The expected benefits include a decarbonised pathway for Australia’s critical flight, freight and defence connections to world and the substantial economic returns and job creation from new manufacturing capacity in Australia.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less