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
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
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
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
ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision system ....ARC Centre of Excellence - Vision Science. This Centre will generate important new knowledge of the performance, logic and stability of vision and visual behaviour. This knowledge will help reduce the burden of vision impairment in Australia, increasing productivity, promoting healthy ageing and reducing the community costs of visual impairment (ca. $9.85 billion in 2004). The knowledge produced will also make possible world-class innovations in robotics, leading to novel automated vision systems with applications in industry and national security. Other knowledge will develop novel diagnostic technologies, for application in health delivery.Read moreRead less
Special Research Initiatives - Grant ID: SR0354553
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Network on Control, Dynamics and Systems (NCDS). Control systems theory provides principles and methods for design of complex engineering systems that automatically maintain desired performance despite changes in their environment (e.g. autopilot in an aircraft). This field is facing many new exciting challenges at the dawn of new millenium, such as design of complex engineering systems in possibly networked, asynchronous and distributed environments. The network will play a major role in addres ....Network on Control, Dynamics and Systems (NCDS). Control systems theory provides principles and methods for design of complex engineering systems that automatically maintain desired performance despite changes in their environment (e.g. autopilot in an aircraft). This field is facing many new exciting challenges at the dawn of new millenium, such as design of complex engineering systems in possibly networked, asynchronous and distributed environments. The network will play a major role in addressing these challenges by providing a national research focus, facilitating collaboration and the sharing of people and ideas. By delivering a National Graduate School, the network will enhance learning conditions for graduate students. Moreover, it will provide an important catalyst between Australian universities and industry. This initiative will be essential in assessing the present state of control research in Australia and drafting a detailed plan for the network's leading research role in the future. Read moreRead less