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Research Topic : Robotics
Socio-Economic Objective : Command, Control and Communications
Australian State/Territory : NSW
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Control Systems, Robotics and Automation (7)
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  • Funded Activity

    Linkage Projects - Grant ID: LP150101135

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Supervised autonomy for AUVs using limited bandwidth communication channels. This project aims to improve the feedback link between robotic platforms and an operator, to increase the effectiveness of underwater survey operations. During surveys, some level of adaptation is required to allow underwater robots to respond to the data they are collecting. It is often difficult to reliably program an autonomous system to identify salient data, particularly when the mission involves searching for part .... Supervised autonomy for AUVs using limited bandwidth communication channels. This project aims to improve the feedback link between robotic platforms and an operator, to increase the effectiveness of underwater survey operations. During surveys, some level of adaptation is required to allow underwater robots to respond to the data they are collecting. It is often difficult to reliably program an autonomous system to identify salient data, particularly when the mission involves searching for particular features whose sensor signatures may be difficult to determine a priori. In contrast, humans are generally good at quickly identifying important data or determining when a mission is not achieving its goals. The project aims to develop novel acoustic communication schemes that will allow communication between the human operator and the underwater robot, exploiting developments in machine learning, network and communication theory.
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    Funded Activity

    Linkage Projects - Grant ID: LP110201151

    Funder
    Australian Research Council
    Funding Amount
    $245,538.00
    Summary
    Supervised autonomy for autonomous underwater vehicles (AUVs) using limited bandwidth communication channels. The project aims to improve the feedback link between an autonomous underwater vehicle (AUV) and an operator by developing novel acoustic communication schemes that exploit developments in machine learning, network, and communication theory and represents a step towards truly autonomous and intelligent surveying using AUV systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP170103750

    Funder
    Australian Research Council
    Funding Amount
    $516,000.00
    Summary
    Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage contr .... Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage control of mobile networks which are expected to solve industrial control problems in the defence, communications and robotics industries and manage the environment.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102501

    Funder
    Australian Research Council
    Funding Amount
    $380,000.00
    Summary
    Control and state estimation in the next-generation interconnected systems. This project aims to develop a systematic and efficient approach to address fundamental challenges in control and secure state estimation in the next-generation interconnected systems. Control and state estimation in high-tech systems is an emerging area of control engineering. The importance of this area is quickly increasing due to the growing use of the next-generation interconnected systems, in which physical and hig .... Control and state estimation in the next-generation interconnected systems. This project aims to develop a systematic and efficient approach to address fundamental challenges in control and secure state estimation in the next-generation interconnected systems. Control and state estimation in high-tech systems is an emerging area of control engineering. The importance of this area is quickly increasing due to the growing use of the next-generation interconnected systems, in which physical and high-tech components are interacting in complex networks. The project is expected to have direct applications in the management of energy networks, and in industrial control and secure state estimation problems in the defence, communications, and automobile industries.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103507

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small system .... Distributed Estimation, Control and Optimisation for Networked Systems. This project aims to study large scale networked systems in major infrastructures including power networks, transportation networks, internet of things, and other cyber-physical systems. This project is expected to develop new methodology and algorithms for distributed estimation, control and optimisation of these systems. Distributed solutions are essential because traditional techniques which were designed for small systems are not suitable for efficient operations of large scale systems. Application examples include distributed state estimation for power networks, control of multi-agent systems and optimal scheduling of transportation networks. The outcomes of this project are vital to the understanding and management of these systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP110105066

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Exploring new tools in nonlinear filtering and control. The conceptual advances with new design rules to be developed in the area of nonlinear filtering and control. Major benefits of this project will be its direct applications to state estimation and control problems in automobile, manufacturing, military hardware and medical device industries, and its increased capacity of contact research.
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    Funded Activity

    Discovery Projects - Grant ID: DP150103745

    Funder
    Australian Research Council
    Funding Amount
    $355,100.00
    Summary
    Topological Analysis and Control Design for Heterogeneous Multi-agent Systems. A multi-agent system refers to a cooperative group of autonomous agents for achieving certain collective behaviour such as flight formation and micro-robot synchronisation. The project aims to: study network topologies in biological systems and understand their applicability to the control of man-made multi-agent systems; and, develop a new theoretical framework and design methodology for control of heterogeneous mult .... Topological Analysis and Control Design for Heterogeneous Multi-agent Systems. A multi-agent system refers to a cooperative group of autonomous agents for achieving certain collective behaviour such as flight formation and micro-robot synchronisation. The project aims to: study network topologies in biological systems and understand their applicability to the control of man-made multi-agent systems; and, develop a new theoretical framework and design methodology for control of heterogeneous multi-agent systems. The expected outcomes include: understanding and application of biologically inspired network topologies for multi-agent systems; new control design methodology for heterogeneous multi-agent systems; and, new applications of multi-agent control in collective robotics and smart electricity grid.
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