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.Read moreRead less
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.Read moreRead less
Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdiscipli ....Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdisciplinary expertise in ethics, artificial intelligence and serious game design. Expected outcomes of the Project include a new framework and technologies for cybersecurity training. This should provide significant benefits through deeper understanding of the ethical impact of new cybertechnologies and training solutions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100858
Funder
Australian Research Council
Funding Amount
$344,896.00
Summary
Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to eff ....Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to effectively engage human in robot’s instruction. Expected outcomes include new methods for trainers to assess robot learning, and to improve their engagement and feedback. This should provide significant human-robot interaction benefits for accessibility of learning robots.Read moreRead less
Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. Th ....Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. The model and algorithms are intended to be integrated into an innovative brain-robot interface for field testing in a real-world industrial task. Translation of the outcomes to industry is expected to produce substantial economic and societal benefits through improved productivity and safety.Read moreRead less
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.
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.Read moreRead less
Physicality, tactility, intimacy: interaction between humans and robots. Until recently robotics has been regarded as a strictly technological discipline. This research brings a fresh perspective to interactive robotics by investigating new ways that humans and robots can interact physically in socially empowered environments. The knowledge created in the project will advance both interactive media arts and robotics science. The theoretical outcomes of this research will open up an entirely new ....Physicality, tactility, intimacy: interaction between humans and robots. Until recently robotics has been regarded as a strictly technological discipline. This research brings a fresh perspective to interactive robotics by investigating new ways that humans and robots can interact physically in socially empowered environments. The knowledge created in the project will advance both interactive media arts and robotics science. The theoretical outcomes of this research will open up an entirely new cross-disciplinary approach to engagement between humans and machines, promoting Australia's growing reputation for innovation and creativity. The practical demonstration of this approach will lead to a new level of advanced robotics capability in applications such as health- and aged-care.Read moreRead less
Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evo ....Fish-Bird: Autonomous Interactions in a Contemporary Arts Setting. This research aims to investigate and expand the dialogical possibilities that exist between multiple autokinetic objects within a new media arts environment. Communication between the objects, and with their audience, will be explored through the modalities of gesture, motion and written text. A new aesthetic framework for interactive artwork will be created through research into autokinesis and the behavioural patterns that evolve between people and autokinetic machines. Outcomes will include a major artwork in three stages, underpinned by a robotics software tool set that facilitates composition and experimentation with autokinetic artwork.Read moreRead less