A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Exp ....A human-centric eXplainable Automated Vehicle. The aim is to create a computational model to address the inability of Automated Vehicles (AV), powered by Artificial intelligence, to self explain their behaviours. This project applies novel multidisciplinary methodologies in a real-world self-driving setting to formalise the essence of driving explanations. It explores the when, why and how a driver is seeking an explanation and what type of automated explanation is truly human-interpretable. Expected outcomes include the discovery of an acceptable, transparent and ethical explanation system that helps humans to understand the AVs decision making. This field will continue to rise in prominence and produce much-needed work to improve the widespread adoption of AVs.Read moreRead less
Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision ....Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.Read moreRead less
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100519
Funder
Australian Research Council
Funding Amount
$420,287.00
Summary
Solving key issues in wearable thermoelectrics for practical applications. Wearable thermoelectrics can directly harvest electricity from body heat, offering a new technology to charge wearable electronics sustainably, but their unsatisfied performance and durability limit their applications. This project aims to design efficient and durable wearable thermoelectrics based on novel carbon/polymer/semiconductor (CPS) hybrid films. The key breakthrough is to develop advanced hybrid materials and de ....Solving key issues in wearable thermoelectrics for practical applications. Wearable thermoelectrics can directly harvest electricity from body heat, offering a new technology to charge wearable electronics sustainably, but their unsatisfied performance and durability limit their applications. This project aims to design efficient and durable wearable thermoelectrics based on novel carbon/polymer/semiconductor (CPS) hybrid films. The key breakthrough is to develop advanced hybrid materials and devices with record-high thermoelectric performance, high stability, and high durability to tackle long-lasting practical application issues. The expected outcomes will lead to innovative technology for energy conversion and advanced manufacturing and place Australia at the forefront of energy and manufacturing.Read moreRead less
New-generation flexible thermoelectrics for wearable electronics. This project aims to develop lightweight, flexible, and durable thermoelectric thin films for wearable electronics using a computation-guided approach, coupled with novel device design and materials nanoengineering strategies. The key breakthrough will overcome the stereotype of fragile thermoelectric materials and their low thermoelectric efficiency for achieving localised, instant, and controllable power generation and/or coolin ....New-generation flexible thermoelectrics for wearable electronics. This project aims to develop lightweight, flexible, and durable thermoelectric thin films for wearable electronics using a computation-guided approach, coupled with novel device design and materials nanoengineering strategies. The key breakthrough will overcome the stereotype of fragile thermoelectric materials and their low thermoelectric efficiency for achieving localised, instant, and controllable power generation and/or cooling with record-high performance in carefully designed wearable thermoelectric devices. Expected outcomes include new understanding of thermoelectrics and innovative technologies for achieving electronics/energy applications, which will provide significant economic and educational benefits for Australia.Read moreRead less
Design guidelines for safety-critical controllers in high-risk environments. This project aims to generate novel product design guidelines for developing safer controllers for use by potentially stressed individuals in high-risk situations. It will do this by generating specific insights and verifying generalisable solutions from the context of total artificial heart recipients –who must engage with critical controllers constantly. This project expects to generate new knowledge in design by esta ....Design guidelines for safety-critical controllers in high-risk environments. This project aims to generate novel product design guidelines for developing safer controllers for use by potentially stressed individuals in high-risk situations. It will do this by generating specific insights and verifying generalisable solutions from the context of total artificial heart recipients –who must engage with critical controllers constantly. This project expects to generate new knowledge in design by establishing a new research topic around an under-examined user cohort. Expected outcomes of this project include interaction design theory developments and improved controller design techniques. This should provide significant benefits and competitive advantages by lowering stress and improving safety across a range of contexts.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100078
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
A particle detector array for the Murchison Widefield Array. The project will construct a particle detector array for the Murchison Widefield Array radio telescope. The array will identify cosmic ray interactions in the Earth's atmosphere, and trigger radio observations. The outcome will be a new capability to study the origin of the highest-energy particles in nature, cosmic rays, and discover new physical processes at energies unreachable by the Large Hadron Collider.
The anticipated benefits ....A particle detector array for the Murchison Widefield Array. The project will construct a particle detector array for the Murchison Widefield Array radio telescope. The array will identify cosmic ray interactions in the Earth's atmosphere, and trigger radio observations. The outcome will be a new capability to study the origin of the highest-energy particles in nature, cosmic rays, and discover new physical processes at energies unreachable by the Large Hadron Collider.
The anticipated benefits are the establishment of the Murchison Widefield Array as a world-leading instrument for astroparticle physics; to lay the foundations for future research with the Square Kilometre Array; and to provide answers to long-standing scientific questions of public interest.Read moreRead less
AI Planning: The Next Generation. This is a project in Artificial Intelligence. It aims at extending and integrating automated planning (and other forms of reasoning) with learning to produce a new generation of planning systems that are robust, safe, scalable, and trusted. These are some of the most significant issues to address to accelerate the adoption of planning systems in industry. Expected outcomes include a pipeline to learn rich symbolic planning models from narrated demonstration vide ....AI Planning: The Next Generation. This is a project in Artificial Intelligence. It aims at extending and integrating automated planning (and other forms of reasoning) with learning to produce a new generation of planning systems that are robust, safe, scalable, and trusted. These are some of the most significant issues to address to accelerate the adoption of planning systems in industry. Expected outcomes include a pipeline to learn rich symbolic planning models from narrated demonstration videos, new ways to represent, learn, and search for generalised policies that are scalable and robust, and approaches to verify and explain generalised policies. The new systems should benefit the aerospace industry by assisting humans in assembling and delivering aerospace products.Read moreRead less
Advancing Human–robot Interaction with Augmented Reality. This research aims to advance emerging human-robot interaction (HRI) methods, creating novel and innovative, human-in-the-loop communication, collaboration, and teaching methods. The project expects to support the creation of new applications for the growing wave of assistive robotic platforms emerging in the market and de-risk the integration of collaborative robotics into industrial production. Expected outcomes include methods and tool ....Advancing Human–robot Interaction with Augmented Reality. This research aims to advance emerging human-robot interaction (HRI) methods, creating novel and innovative, human-in-the-loop communication, collaboration, and teaching methods. The project expects to support the creation of new applications for the growing wave of assistive robotic platforms emerging in the market and de-risk the integration of collaborative robotics into industrial production. Expected outcomes include methods and tools developed to allow smart leveraging of the different capacities of humans and robots. This should provide significant benefits allowing manufacturers to capitalize on the high skill level of Australian workers and bring more complex high-value manufactured products to market. Read moreRead less
3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environmen ....3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environments and open up new possibilities for applications in fields such as virtual reality, architecture, and city planning. The proposed 3D diffusion models will also enhance the accuracy of computer vision tasks related to 3D scene understanding, such as object detection, tracking, and semantic segmentation.Read moreRead less