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Scheme : Federation Fellowships
Research Topic : Intelligent Robotics
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  • Funded Activity

    Federation Fellowships - Grant ID: FF0241328

    Funder
    Australian Research Council
    Funding Amount
    $1,417,500.00
    Summary
    Honeybee Vision and navigation, and applications to robotics. Anyone observing a honeybee find its way home effortlessly after collecting nectar would know that these insects are excellent navigators, despite their diminutive brains and relatively simple nervous systems. One aim of this proposal is to gain a better understanding of the mechanisms underling honeybee navigation. Another aim is to apply some of these findings to the development of novel, biologically inspired naviagtion systems for .... Honeybee Vision and navigation, and applications to robotics. Anyone observing a honeybee find its way home effortlessly after collecting nectar would know that these insects are excellent navigators, despite their diminutive brains and relatively simple nervous systems. One aim of this proposal is to gain a better understanding of the mechanisms underling honeybee navigation. Another aim is to apply some of these findings to the development of novel, biologically inspired naviagtion systems for aircraft. The findings should illuminate important principles of animal navigation. They should also advance Australia's technology in the area of unmanned aerial vehicles (UAVs), which will have important applications in national defence and security.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0344396

    Funder
    Australian Research Council
    Funding Amount
    $1,417,500.00
    Summary
    Information Fusion in Autonomous systems. The aim of this fellowship is to explore and develop a family of powerful new Bayesian representations of sensory information and to demonstrate their application in perception and navigation of advanced robotic systems. These representations have the potential to revolutionize the field of intelligent autonomous systems and realize a whole new level of capapbilites and applications for advanced robotics in complex and unstructured environments such as s .... Information Fusion in Autonomous systems. The aim of this fellowship is to explore and develop a family of powerful new Bayesian representations of sensory information and to demonstrate their application in perception and navigation of advanced robotic systems. These representations have the potential to revolutionize the field of intelligent autonomous systems and realize a whole new level of capapbilites and applications for advanced robotics in complex and unstructured environments such as sub-sea exploration, mining, fire fighting and defence.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0776190

    Funder
    Australian Research Council
    Funding Amount
    $1,606,210.00
    Summary
    Data Fusion and Perception in Autonomous Networks. Australia has developed a leading international position in robotics driven by strong national needs in field applications such as mining and agriculture. The proposed research will significantly strengthen and extend this lead by enabling the design and development of a new generation of robotic systems able to work cooperatively in the most challenging applications. The project will realise a new level of capabilities for advanced robotics in .... Data Fusion and Perception in Autonomous Networks. Australia has developed a leading international position in robotics driven by strong national needs in field applications such as mining and agriculture. The proposed research will significantly strengthen and extend this lead by enabling the design and development of a new generation of robotic systems able to work cooperatively in the most challenging applications. The project will realise a new level of capabilities for advanced robotics in applications such as integrated autonomous mining systems, environment monitoring, and networked security and defence systems. The fellowship will build new research capacity by developing and applying new knowledge in allied fields of large-scale sensor networks, environment and resource management.
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