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Socio-Economic Objective : Emerging Defence Technologies
Status : Active
Research Topic : behaviour problems
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT180100491

    Funder
    Australian Research Council
    Funding Amount
    $712,800.00
    Summary
    Animal camouflage patterns. This project aims to understand whether animal camouflage patterns can produce the illusion of 3D form. By using the latest techniques in 3D computer imaging, vision science and animal behaviour, this work addresses the previously untested but fundamental theory on 3D camouflage patterns. The development of theory on the ecology and evolution of animal patterning will enhance our understanding of the processes that maintain biological diversity. This research is expec .... Animal camouflage patterns. This project aims to understand whether animal camouflage patterns can produce the illusion of 3D form. By using the latest techniques in 3D computer imaging, vision science and animal behaviour, this work addresses the previously untested but fundamental theory on 3D camouflage patterns. The development of theory on the ecology and evolution of animal patterning will enhance our understanding of the processes that maintain biological diversity. This research is expected to have broad impact across multiple disciplines and will inform novel military defence strategies and contribute to emerging bio-inspired technologies.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220101883

    Funder
    Australian Research Council
    Funding Amount
    $411,224.00
    Summary
    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.
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