Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirem ....Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirements for the problem to be solvable, the achievable accuracy, and efficient algorithms for achieving accurate three-dimensional reconstruction of deformable environments. The research outcomes from this project offer significant benefits to diverse areas such as minimally invasive robotic surgery.Read moreRead less
Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping a ....Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping and recognition with unconventional sensors. The outcomes of this research have the potential to improve the effectiveness of critical civil infrastructure maintenance technology through accurate and reliable inspections, and the reduced need for human intervention.Read moreRead less
Development of globally optimal solutions to simultaneous localisation and mapping for robot navigation. Building robots that can operate on their own is one of the potentially transformational technologies of this century. This project will develop algorithms that are well understood and robust to allow the deployment of robots in environments populated with people and in search and rescue operations where global positioning system is not available.
Robotics for zero-tillage agriculture. This project will develop small agricultural robots to increase broad-acre crop production and reduce environmental impact. These robots will have advanced navigation capability, will cooperate to cover large areas and resupply themselves, while causing less soil damage and applying herbicide more intelligently.
Learning and planning with qualitative models. This project will give a robot the ability to learn how to interact with its environment, using common sense reasoning to guide trial-and-error learning. The outcome will be a robot that is able to quickly adapt to new and changing environments, such as those which might be encountered in applications like robots for urban search and rescue.
Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associ ....Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associated mechanisms for proactive identification, prevention and mediation of cloud service-level agreement violation in the best interest of the cloud users. The findings of the project will support enterprises across Australian economy in shifting from traditional IT systems to the ubiquitous cloud computing that has already been recognised as a core enabling IT technology in addressing the societal challenge of lifting productivity and economic growth in a rapidly changing world economy.Read moreRead less
Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with ....Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with a higher material recovery efficiency and a lower cost due to the significantly reduced labor cost; hence substantially reduce the environmental footprint associated with EOL treatment of these batteries.Read moreRead less
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.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100030
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The ex ....ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The expected outcomes are robots with the ability to autonomously collect data for integration into a digital twin that provides a real-time representation of the true state of a physical asset. The benefits include both improved asset management and establishing Australia as a leading manufacturer of advanced robotic systems.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