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
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
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
Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes a ....Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes are new connections between fundamental limitations on measurements, the nature of gravitation, and ultra-small-scale quantum physics. The benefit of this work is breaking the logjam in answering the most important open question in all of physics: how to unite quantum theory and gravitation.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347024
Funder
Australian Research Council
Funding Amount
$140,000.00
Summary
Research facility in micromanipulation. The aim of the program is to establish a unique joint facility between Monash and Deakin for micromanipulation research. The proposed facility will consist of complex/intelligent micromanipulation systems capable of motion accuracy of 0.01-0.1 micrometer (10-100 nm). This will be the only facility of its kind in Australia and will provide a key enabling technology in the research and development of advanced micromanipulation systems, robotic-assisted mic ....Research facility in micromanipulation. The aim of the program is to establish a unique joint facility between Monash and Deakin for micromanipulation research. The proposed facility will consist of complex/intelligent micromanipulation systems capable of motion accuracy of 0.01-0.1 micrometer (10-100 nm). This will be the only facility of its kind in Australia and will provide a key enabling technology in the research and development of advanced micromanipulation systems, robotic-assisted microsurgery, sensory-based and intelligent control of complex systems, micro assembly/manufacturing, telerobotics/telesurgery, kinematics and dynamics of micromanipulators, laser-based control, and biotechnology. The facility will support and enhance a number of high-quality, current and future research projects with recognised potential.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561136
Funder
Australian Research Council
Funding Amount
$376,352.00
Summary
36-megapixel CCD camera for wide-field astronomy. This project aims to design and build a state-of-the-art 36-megapixel charge-coupled device (CCD) camera for wide-field imaging on a robotic telescope at Siding Spring Observatory. The camera will employ a mosaic of two 18-megapixel CCDs, which are amongst the largest ever fabricated. This new facility will have an unprecedented ability to obtain precision photometry over a wide field, and will enable breakthroughs in research into areas as diver ....36-megapixel CCD camera for wide-field astronomy. This project aims to design and build a state-of-the-art 36-megapixel charge-coupled device (CCD) camera for wide-field imaging on a robotic telescope at Siding Spring Observatory. The camera will employ a mosaic of two 18-megapixel CCDs, which are amongst the largest ever fabricated. This new facility will have an unprecedented ability to obtain precision photometry over a wide field, and will enable breakthroughs in research into areas as diverse as detection of extra-solar planets and nearby supernovae. The camera will also lead to collaborative research with ANU's newly-funded Skymapper telescope, as well as the Anglo-Australian Observatory's 6dF and 2dF instruments.Read moreRead less
ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the tren ....ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the trend towards robotic-assisted minimally invasive surgery continues. What makes this project novel is the anatomical organ modeling approach based on virtual springs and dampers traversing between the top and bottom surfaces of the organs and tissues, contrary to previous approaches.Read moreRead less
Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
Symbiotic transport proteins in legumes. Some plants form a symbiosis with soil bacteria (rhizobia) that convert atmospheric nitrogen to ammonia which is then supplied to the plant. This enables legumes to grow without application of nitrogen-based fertilizer, avoiding environmental problems such as run-off and land degradation, thereby contributing to sustainable agriculture practise. We will investigate the interactions between plant and rhizobia, focusing on identifying genes and proteins wh ....Symbiotic transport proteins in legumes. Some plants form a symbiosis with soil bacteria (rhizobia) that convert atmospheric nitrogen to ammonia which is then supplied to the plant. This enables legumes to grow without application of nitrogen-based fertilizer, avoiding environmental problems such as run-off and land degradation, thereby contributing to sustainable agriculture practise. We will investigate the interactions between plant and rhizobia, focusing on identifying genes and proteins which govern nutrient exchange between the partners and development of the special structures in the roots that house the bacteria. Subsequent manipulation of these genes and proteins may allow us to identify control points and enhance nitrogen fixation.
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