Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Human models for accelerated robot learning and human-robot interaction. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. To achieve this aim, this project will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. Expected outcomes of this project include new computational models of human behaviour built using cognitive science th ....Human models for accelerated robot learning and human-robot interaction. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. To achieve this aim, this project will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. Expected outcomes of this project include new computational models of human behaviour built using cognitive science theories and limited data and new training schemes for robot learning in simulation. By training robots in simulation with accurate human models, this research will enable fast and safe robot training to support the deployment and adoption of robots in human contexts such as healthcare facilities, homes, and workplaces.Read moreRead less
Special Research Initiatives - Grant ID: SR0354703
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personn ....Robotics Research Network (RRN). The RRN brings together all the best robotics research groups in Australia with the aim of fostering and coordinating cooperative research. The RRN integrates researchers from fields including machine perception, sensing, control, artificial intelligence and mechatronics. The RRN includes representation from twelve Universities, CSIRO and involvement of four ARC Centres. Programmes are proposed to share research facilities, to support training of research personnel and promote cooperation in international research programmes. Robotics is already having a substantial impact in industries such as mining and agriculture. Robotics will, in future, offer benefits in areas such as health care, building systems, and defence.Read moreRead less
Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research out ....Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research outcome is an intuitive, assistive robot worn by the human workforce that enhances their productivity and longevity, improves working conditions, lowers production costs, and increases workforce resilience. The robot’s capabilities will be demonstrated in this project through the challenging activity of sheep shearing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100960
Funder
Australian Research Council
Funding Amount
$420,198.00
Summary
Reverse Design of Tuneable 4D Printed Materials for Soft Robotics. This project aims to facilitate the design and manufacture of specialised objects that can change their shape over time. These types of objects are made from ‘tuneable metamaterials’, which can be made by 4D printing: 3D printing with an added dimension of time. These materials are becoming indispensable in many fields- including non-metallic soft robots used in medicine or the exploration of harsh environments like space- but ar ....Reverse Design of Tuneable 4D Printed Materials for Soft Robotics. This project aims to facilitate the design and manufacture of specialised objects that can change their shape over time. These types of objects are made from ‘tuneable metamaterials’, which can be made by 4D printing: 3D printing with an added dimension of time. These materials are becoming indispensable in many fields- including non-metallic soft robots used in medicine or the exploration of harsh environments like space- but are currently onerous to make. This project will develop a revolutionary new method for a user to work backward from defining the desired qualities to the manufacture of the object that satisfies their needs. It will also create a library that will allow users to quickly select a material that will be appropriate.Read moreRead less
Autonomous service robots in a multi-agent based system for household and industrial environments. This project addresses fundamental research issues required to develop autonomous mobile robots for intelligent cleaning services. As an interdisciplinary project spanning the fields of robotics, mechatronics and AI, it offers potential benefits in bringing robots into less-structured human environments. Robots performing autonomous cleaning (including hazardous waste and spillage) and security tas ....Autonomous service robots in a multi-agent based system for household and industrial environments. This project addresses fundamental research issues required to develop autonomous mobile robots for intelligent cleaning services. As an interdisciplinary project spanning the fields of robotics, mechatronics and AI, it offers potential benefits in bringing robots into less-structured human environments. Robots performing autonomous cleaning (including hazardous waste and spillage) and security tasks in both household and industrial environments has tremendous national/community benefits in cost and time savings, improved efficiency and safety, and facilitating hazardous or labour intensive tasks. Other benefits include research training, strengthening Australia's R&D position in key innovative technologies, and creating jobs and exports.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100001
Funder
Australian Research Council
Funding Amount
$4,879,415.00
Summary
ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. The Centre aims to build the human and technical capability Australia needs to underpin our global competitiveness in advanced manufacturing. The Centre will unite manufacturing businesses, including SMEs, and universities to develop collaborative robotics applications which combine the strengths of humans and robots in shared work environments. The Centre will train researchers, engineers, technologists and manufacturing ....ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. The Centre aims to build the human and technical capability Australia needs to underpin our global competitiveness in advanced manufacturing. The Centre will unite manufacturing businesses, including SMEs, and universities to develop collaborative robotics applications which combine the strengths of humans and robots in shared work environments. The Centre will train researchers, engineers, technologists and manufacturing leaders with the expertise industry needs to boost safety, quality assurance, production efficiency, and workforce readiness. The intended outcome is to support Australian manufacturers to shift toward higher-potential markets, compete globally and attract and retain a digitally-capable workforce for the future.Read moreRead less
The dynamics of organic matter turnover in soils to improve the productivity of Australia's agricultural industries. Two recent national reports on the soils issues facing Australian agriculture (Reeves et al, 1997; CSIRO, 2000) concluded that soil structural degradation remains, after salinisation, our major threat to the sustainability of agricultural production. This research will provide fundamental understanding of how the dynamics of organic matter turnover benefit aggregate formation and ....The dynamics of organic matter turnover in soils to improve the productivity of Australia's agricultural industries. Two recent national reports on the soils issues facing Australian agriculture (Reeves et al, 1997; CSIRO, 2000) concluded that soil structural degradation remains, after salinisation, our major threat to the sustainability of agricultural production. This research will provide fundamental understanding of how the dynamics of organic matter turnover benefit aggregate formation and stability. This will advance the understanding of organic matter from simply considering the quantity of carbon present, to one of predicting the short- and long-term benefits to soil structure. This approach is innovative in the study of soil health, and has the potential to greatly advance the development of conservation farming systems.Read moreRead less
Parallel-Link Mechanism Control using new Concept and Techniques. The new knowledge and techniques, as a result of this research project, will have direct relevance to many Australian industries. In particular, they provide opportunities to improve Australia's competitiveness through innovations for the manufacturing sector. For this sector, increasing global competition and tariff reductions pose serious challenges to its continuing international competitiveness. There is an urgent need to deve ....Parallel-Link Mechanism Control using new Concept and Techniques. The new knowledge and techniques, as a result of this research project, will have direct relevance to many Australian industries. In particular, they provide opportunities to improve Australia's competitiveness through innovations for the manufacturing sector. For this sector, increasing global competition and tariff reductions pose serious challenges to its continuing international competitiveness. There is an urgent need to develop cost effective innovative products. The outcomes of this research will produce a faster, more accurate, cheaper and optimally controlled parallel-link robot than currently available. Read moreRead less
Combating subsoil acidity for sustainable production through managing plant cation-anion uptake. At least 50 million hectares of topsoil and 23 million ha of subsoil of Australian land are presently affected by acidity, with this area expanding due to the ongoing processes of acidification. Surface liming is ineffective in neutralizing subsoil acidity. The project will develop an innovative method that stimulates root proliferation and ameliorates subsoil acidity through manipulating the balance ....Combating subsoil acidity for sustainable production through managing plant cation-anion uptake. At least 50 million hectares of topsoil and 23 million ha of subsoil of Australian land are presently affected by acidity, with this area expanding due to the ongoing processes of acidification. Surface liming is ineffective in neutralizing subsoil acidity. The project will develop an innovative method that stimulates root proliferation and ameliorates subsoil acidity through manipulating the balance of nutrient uptake by plants. The effects of the developed method on nutrient use efficiency and leaching loss, and crop yields will be quantified under different soil types and climatic conditions.Read moreRead less