Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0883093
Funder
Australian Research Council
Funding Amount
$285,000.00
Summary
A Haptically enabled Universal Motion Simulator Research Facility. The proposed universal motion simulator research facility will enable to develop a better understanding of issues involved in ergonomic and safe vehicle designs and provides opportunities to improve Australia's international competitiveness and economic sustainability through innovations in the manufacturing and transport sectors. This universal motion simulator will provide opportunity to extend our understanding of operator con ....A Haptically enabled Universal Motion Simulator Research Facility. The proposed universal motion simulator research facility will enable to develop a better understanding of issues involved in ergonomic and safe vehicle designs and provides opportunities to improve Australia's international competitiveness and economic sustainability through innovations in the manufacturing and transport sectors. This universal motion simulator will provide opportunity to extend our understanding of operator controlled devices, such as cars and mining machinery, and to develop effective strategies to reduce the risk of vehicle accidents.Read moreRead less
Developing Intelligent Systems for Manufacturing Control. The primary aim of this project is to develop control systems that interactively learn from the environment to increase the capabilities and performance of manufacturing processes. To achieve this we propose to develop manufacturing control systems that can automatically adapt to the changes in the process under control. Since these systems are expected to operate with limited or no human intervention, they need to be intelligent enough t ....Developing Intelligent Systems for Manufacturing Control. The primary aim of this project is to develop control systems that interactively learn from the environment to increase the capabilities and performance of manufacturing processes. To achieve this we propose to develop manufacturing control systems that can automatically adapt to the changes in the process under control. Since these systems are expected to operate with limited or no human intervention, they need to be intelligent enough to be able to learn from a changing environment and adapt correspondingly in order to achieve and maintain performance objectives.
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