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Research Topic : Intelligent mobility
Field of Research : Computer-Human Interaction
Status : Closed
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  • Researchers (19)
  • Funded Activities (8)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0558468

    Funder
    Australian Research Council
    Funding Amount
    $235,000.00
    Summary
    Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will .... Integrating human operators into large-scale sensor networks. Information awareness is critical in many applications of national importance: from bush fire fighting and defence to transportation and health care. These applications involve tasks in which timely delivery and fusion of heterogeneous information streams is of critical importance. They can all benefit from the use of robotic and embedded sensor networks considered in this project. Human operators, acting as users or supervisors, will remain at the centre of these systems. The technology and algorithms developed in this project will efficiently structure information exchange between humans and sensor networks. Establishing Australian leadership in this fast-evolving high-technology field will spur growth and job creation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451859

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements fo .... Autonomous Functions for Smart Cars. The aim of this project is to develop autonomous functions for smart cars, such as lane departure warning, driver fatigue warning, and automatic lane following. Every year 70,000 people are killed in road accidents, 95% of which can be attributed to driver error. The potential outcomes of this project therefore significant. Many of the theoretical methods required for this project have been developed by our group. However, further theoretical refinements followed by experimental verification is necessary. For smart cars to be accepted, the systems must be demonstrated to be reliable and to operate in a wide range of conditions.
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    Funded Activity

    Linkage - International - Grant ID: LX0665442

    Funder
    Australian Research Council
    Funding Amount
    $89,730.00
    Summary
    Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating so .... Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating solutions to this increasingly important area will provide Australia's industry and community services the necessary knowledge for deploying such systems and thus improving service effectiveness, as well as the implementation of autonomous systems into new areas and thus increasing economic growth.
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    Funded Activity

    Discovery Projects - Grant ID: DP180101215

    Funder
    Australian Research Council
    Funding Amount
    $351,251.00
    Summary
    A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied are .... A computational theory of strategic deception. This artificial project aims to develop a theory of strategic deception and test it through an Artificial Intelligence model. The project will combine computational Theory-of-Mind concepts with recent scientific findings to allow us to better understand whether and how intelligent technologies of the future might deceive humans. The findings will provide new insights into how Artificial Intelligence technologies of the future will impact applied areas of computing, where simulating advanced forms of social behaviour and cognition, including deception, will become increasingly significant.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347232

    Funder
    Australian Research Council
    Funding Amount
    $195,000.00
    Summary
    Robotics for the Real World: A Museum Tourguide Robot. This project will develop a tour guide robot for deployment into a real-world situation: providing tours at the Questacon museum in Canberra. Previously developed tour guide robots have all been limited in nature, similar to one-off laboratory experiments. This project aims to develop a world first: a truly robust and autonomous mobile robot that is continuously in service. This is a vital area for the future of robotics and has potential .... Robotics for the Real World: A Museum Tourguide Robot. This project will develop a tour guide robot for deployment into a real-world situation: providing tours at the Questacon museum in Canberra. Previously developed tour guide robots have all been limited in nature, similar to one-off laboratory experiments. This project aims to develop a world first: a truly robust and autonomous mobile robot that is continuously in service. This is a vital area for the future of robotics and has potential for spin-offs. The project will also develop necessary research results in the areas of mapping of dynamic environments, demonstrable safety, human-robot interaction, robot robustness and reliability, and Internet-based teleoperation.
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    Funded Activity

    Discovery Projects - Grant ID: DP130102825

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Foundations of human-agent collaboration: situation-relevant information sharing. As automated systems become more sophisticated in their capabilities, the design of effective interaction with human operators becomes more demanding. Outcomes from this project will support the development of human-automation teams that can coordinate and collaborate in fast changing task environments.
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    Funded Activity

    Linkage Projects - Grant ID: LP120100700

    Funder
    Australian Research Council
    Funding Amount
    $480,800.00
    Summary
    Development of fundamental perception technology and algorithms for mining safety. The project will push the boundaries of mining safety research to deliver innovative and powerful tools to understand and control the level of risk of an operation. This knowledge will be used to develop algorithms to best assess safety issues in different scenarios, to design safety procedures and to develop operator training.
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    Funded Activity

    Discovery Projects - Grant ID: DP180100670

    Funder
    Australian Research Council
    Funding Amount
    $354,592.00
    Summary
    A neural fuzzy fusion engine for human-machine autonomous systems. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general fra .... A neural fuzzy fusion engine for human-machine autonomous systems. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS). The project will develop new techniques to detect covert-state drift, model trustworthiness between humans and machines, and adaptively fuse information under various kinds of uncertainty and trust levels. These techniques will be integrated to produce a general framework to facilitate human-machine interaction and enable better collaborative decisions in HMAS. The outcomes will benefit human-centric automation systems in general and next-generation autonomous vehicles in particular, which will contribute to the Australian economy.
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    Showing 1-8 of 8 Funded Activites

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