Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for ....Efficient strategies for visually guided flight: from insects to drones. Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.Read moreRead less
Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outco ....Action selection in insects: how a microbrain knows what to do. Identifying what to do demands integrating sensory information with our current physiological state and memory of past experience to select the best possible action. This is the action selection problem. Our project aims to discover how tiny insect brains solve this fundamental problem. The project combines neural recordings from animals exploring virtual reality, behavioural analyses and computational modelling. The expected outcome is a new understanding of the brain as an effective behavioural control system. This will benefit systems and comparative neuroscience. Our findings may also inspire solutions for robotic systems that must operate autonomously in remote and challenging environments such as disaster relief or exploration.Read moreRead less
Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how indi ....Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how individual-level behaviour drives structure-level outcomes, applicable to many complex systems, and ii) novel software and hardware for robot swarms that can 3D-print structures using ant inspired teamwork strategies. Benefits of the project include new construction technologies that are safer, greener, cheaper and faster.Read moreRead less
Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The pr ....Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The project will provide fundamental advances in our knowledge of the nutrient transport during pregnancy that is required to produce a healthy baby.Read moreRead less
Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understand ....Life or death decisions: making fast, accurate choices in a complex world. This project aims to understand how hoverflies and honey bees, with tiny brains and sensory systems, excel at making fast and accurate decisions while on the fly in a complex world. The project will combine brain recordings with flight analyses and computational modelling to generate new knowledge on how animals may utilize movements to simplify information sampling. Expected outcomes are a novel, comprehensive understanding of how animal movements could enhance decision speed and accuracy. This should provide substantial benefits for neuroscience, and for enhancing performance of autonomous robotic systems operating in challenging environments, such as disaster relief, mining and remote exploration. Read moreRead less
Time to prime: using silicon to activate grass resistance under higher CO2. This project aims to deliver insight into how CO2 affects defence trade-offs in Australian grasses and establish if silicon (Si) supplementation with an industrial by-product restores resistance. Grasses contain more Si than nearly any other plant, resulting in multiple beneficial functions, including increasing resistance to disease and herbivory. However, increasing atmospheric CO2 reduces Si uptake in some grasses and ....Time to prime: using silicon to activate grass resistance under higher CO2. This project aims to deliver insight into how CO2 affects defence trade-offs in Australian grasses and establish if silicon (Si) supplementation with an industrial by-product restores resistance. Grasses contain more Si than nearly any other plant, resulting in multiple beneficial functions, including increasing resistance to disease and herbivory. However, increasing atmospheric CO2 reduces Si uptake in some grasses and frequently compromises plant defensive responses/signalling to herbivore attack. A key outcome will be identifying and maximising silicon-based resistance in vulnerable grasses against the threat of climate change and invasive herbivores. This will provide benefits such as increased productivity of Australian grasslands using a pollution-free, broad-spectrum and environmentally safer pest control approach.Read moreRead less