Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.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
Why are many fungicide lead compounds active against pathogens in axenic culture but inactive when applied to infected plants? It is much cheaper and easier to screen compounds for fungicidal activity in vivo (that is against the fungus grown in axenic culture) than to test in planta. However, it is commonly observed that compounds active in in vivo screens do not subsequently prove to be active in planta. The aim of this project is to investigate the physiological, biochemical and genetics basi ....Why are many fungicide lead compounds active against pathogens in axenic culture but inactive when applied to infected plants? It is much cheaper and easier to screen compounds for fungicidal activity in vivo (that is against the fungus grown in axenic culture) than to test in planta. However, it is commonly observed that compounds active in in vivo screens do not subsequently prove to be active in planta. The aim of this project is to investigate the physiological, biochemical and genetics basis of this discrepancy and to attempt to provide tools that circumvent the problem. It is expected the project will generate novel information on the environment in the plant experienced by the fungus.Read moreRead less
A novel method of broad-acre weed seedbank management using a naturally occuring germination stimulant. The discovery of a novel butenolide that promotes seed germination has potential to provide significant economic benefits for Australia's agricultural sector, providing a vehicle to move towards minimum-weed agricultural systems achieved through broad-acre stimulation of the weed seedbank. Our aim is for butenolide to promote uniform release of weed seed dormancy, increased germination, and gr ....A novel method of broad-acre weed seedbank management using a naturally occuring germination stimulant. The discovery of a novel butenolide that promotes seed germination has potential to provide significant economic benefits for Australia's agricultural sector, providing a vehicle to move towards minimum-weed agricultural systems achieved through broad-acre stimulation of the weed seedbank. Our aim is for butenolide to promote uniform release of weed seed dormancy, increased germination, and greater synchrony in early stage seedling growth and thus more effective knock-down following herbicide applications.Read moreRead less
Mechanisms and manipulation of seed dormancy maintenance in annual ryegrass and other weed species. A better understanding of seed dormancy in annual ryegrass will lead to a greater variety of management options for removal of this weed from cropping zones, focusing on diminishing the weed seed bank. Additionally, the knowledge gained from the study of ryegrass could be applied to native species in terms of optimising germination of difficult species and conservation of seeds of rare species.
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
Next-Generation Intelligent Robotic Mobility Aid for Vision Impaired People. More than 253 million people worldwide are blind or have low vision, with over 575,000 in Australia. This research aims to develop the world's first functional robotic guide with advanced robotic sensing, navigation, control, machine learning-based decision making and user interfaces. The project will generate novel theoretical breakthroughs, produce feasible prototypes, train young researchers, innovate industry capabi ....Next-Generation Intelligent Robotic Mobility Aid for Vision Impaired People. More than 253 million people worldwide are blind or have low vision, with over 575,000 in Australia. This research aims to develop the world's first functional robotic guide with advanced robotic sensing, navigation, control, machine learning-based decision making and user interfaces. The project will generate novel theoretical breakthroughs, produce feasible prototypes, train young researchers, innovate industry capabilities and provide new research that will transform the lives of visually impaired people. The project is expected to further benefit the service and mobility aid industry, researchers and wider community in substantial social, economic and diverse terms. The mobility aid has potential for commercialisationRead 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
Practical application of gene silencing: is delivery of long double stranded ribonucleic acid (dsRNA) by plant cells efficient in conferring host resistance to parasitic nematodes? Nematode that attack plants cause $120 billion of crop losses worldwide. Chemicals used for their control are being phased out because of environmental concerns, and natural resistance is limited. The aim of this project is to use Australian IP to develop a new form of resistance to nematodes based on knowledge of th ....Practical application of gene silencing: is delivery of long double stranded ribonucleic acid (dsRNA) by plant cells efficient in conferring host resistance to parasitic nematodes? Nematode that attack plants cause $120 billion of crop losses worldwide. Chemicals used for their control are being phased out because of environmental concerns, and natural resistance is limited. The aim of this project is to use Australian IP to develop a new form of resistance to nematodes based on knowledge of the host-pathogen interactions. A successful outcome could contribute an additional 5-20% increase in crop yields (depending on the crop) through inherent resistance of crops to nematode pests. This would benefit rural communities and the national economy, and could also generate international royalties.Read moreRead less
Role of organic matter and soil biota in optimising crop nutrition in sustainable farming systems. Australian grain producers face increasing competition on the world market from countries with cheap production costs (China, Argentina, Brazil). This project will develop biological farming systems based on improving soil health and enhancing soil microflora and nutrient cycling. Western Australia and other states are currently defining certification guidelines for sustainable farming systems (inc ....Role of organic matter and soil biota in optimising crop nutrition in sustainable farming systems. Australian grain producers face increasing competition on the world market from countries with cheap production costs (China, Argentina, Brazil). This project will develop biological farming systems based on improving soil health and enhancing soil microflora and nutrient cycling. Western Australia and other states are currently defining certification guidelines for sustainable farming systems (including biological ones). Selling grain produced in certified biological farming system will attract market premium, therefore enhancing the position of Australian farmers. This project will produce fertiliser recommendation systems incorporating organic fertilisers, thus decreasing costs of production and maintaining clean and healthy environment.Read moreRead less