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Field of Research : Manufacturing Engineering
Field of Research : Computer Vision
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  • Funded Activity

    Discovery Projects - Grant ID: DP0342849

    Funder
    Australian Research Council
    Funding Amount
    $172,536.00
    Summary
    Image Based Visual Servo Control of Dynamic Under-Actuated Systems. The project builds on earlier work on visual servo control of under-actuated rigid body dynamics to develop and implement sophisticated and robust image based visual servo control for a wide class of under-actuated and fully actuated dynamic systems. The scope of the project extends far beyond basic testing of preliminary results to address key technical issues facing visual servo control algorithms at this time. The project i .... Image Based Visual Servo Control of Dynamic Under-Actuated Systems. The project builds on earlier work on visual servo control of under-actuated rigid body dynamics to develop and implement sophisticated and robust image based visual servo control for a wide class of under-actuated and fully actuated dynamic systems. The scope of the project extends far beyond basic testing of preliminary results to address key technical issues facing visual servo control algorithms at this time. The project is strongly motivated by the host of emerging applications for visual servo control of unmanned aerial vehicles. The experimental program within the project is based on control of a four rotor VTOL `hoverbot'.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100165

    Funder
    Australian Research Council
    Funding Amount
    $281,205.00
    Summary
    Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision .... Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991108

    Funder
    Australian Research Council
    Funding Amount
    $91,140.00
    Summary
    A Vision Controlled Autonomous Multi-Robot Welding System. This developed system will increase the application of robotic welding in more Australian industries thereby increaseing the productivity and competitiveness of the nation. The system will provide a safer work environment for workers by reducing and potentially eliminating direct exposure of workers to the welding process. This fully automated welding system will give the Lincoln a significant advantage in commercialise this technology b .... A Vision Controlled Autonomous Multi-Robot Welding System. This developed system will increase the application of robotic welding in more Australian industries thereby increaseing the productivity and competitiveness of the nation. The system will provide a safer work environment for workers by reducing and potentially eliminating direct exposure of workers to the welding process. This fully automated welding system will give the Lincoln a significant advantage in commercialise this technology both in Australia and overseas. Therefore, this will reap considerable economic benefit for the company, and the nation. This project will also provide a realistic industrial environment for PhD student training.
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