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
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
Active Segmentation for Cooperative Mobile Robots in Outdoor Environments. The objective of this project is to develop a principled understanding of how to improve the segmentation of three-dimensional range data in a cooperative manner by judiciously choosing future sensor viewpoints of a team of mobile robots. The viewpoint of the robot affects both the density of three-dimensional data points and the areas that are unobservable due to occlusions. Project outcomes will open up a whole new appr ....Active Segmentation for Cooperative Mobile Robots in Outdoor Environments. The objective of this project is to develop a principled understanding of how to improve the segmentation of three-dimensional range data in a cooperative manner by judiciously choosing future sensor viewpoints of a team of mobile robots. The viewpoint of the robot affects both the density of three-dimensional data points and the areas that are unobservable due to occlusions. Project outcomes will open up a whole new approach to the process of autonomously gathering information about objects in outdoor environments, will synergise with existing classification and motion planning methods, and will support Australia's continued role as a leader in field robotics research.Read moreRead less
Supporting Responses To Commonwealth Science Council Priorities - Grant ID: CS170100007
Funder
Australian Research Council
Funding Amount
$208,595.00
Summary
The Internet of Things: maximising the benefit of deployment in Australia. This project aims to examine the opportunities, risks and consequences of the Internet of Things (IoT) and establish ways to foster technological leadership while ensuring responsible deployment. This project explores the immense potential that the Internet of Things offers for Australia – the productivity and safety of our industries, the efficiency and impact of services, and our ability to contribute skilled jobs to th ....The Internet of Things: maximising the benefit of deployment in Australia. This project aims to examine the opportunities, risks and consequences of the Internet of Things (IoT) and establish ways to foster technological leadership while ensuring responsible deployment. This project explores the immense potential that the Internet of Things offers for Australia – the productivity and safety of our industries, the efficiency and impact of services, and our ability to contribute skilled jobs to the growing global digital economy. These analyses will clarify the economic, social and cultural perspectives of deployment and establish a set of key findings to guide policy making over the next decade.Read moreRead less
Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable ....Advanced three-dimensional Computer Vision Algorithms for 'Find and Grasp' Future Robots. This project addresses crucial limitations of existing vision systems for the robot grasping of irregular objects in messy living environments. This project aims to undertake fundamental research into novel three-dimensional vision algorithms, exploiting multiple modalities (two-dimensional+three-dimensional+video) for scene labelling, object classification, scene segmentation and grasp synthesis to enable future robots to operate in unstructured environments with highly occluded and cluttered objects. It is expected to significantly advance research and to have broad applications, including home robotics to improve the quality of life of elders and people with special needs. These algorithms may also be used in security (explosive manipulation) and agriculture (field crop harvesting).Read moreRead less
Modelling and simulation of self-organised behaviour in biological and bio-inspired systems. Understanding self-organised systems is fundamental in biology and bio-inspired engineering. The project develops sophisticated mathematical modelling techniques and high performance simulation methods for such systems. This will increase our capacity to explain complex biological behaviour and to produce reliable bio-inspired engineering solutions
Modelling, analysis and design of secure networked control systems. This project aims to develop models, design and analysis techniques for secure Networked Control Systems (NCS). These could control large-scale and complex distributed systems. Improved NCS technology will underpin our ability to optimise water and energy use, live in sustainable communities and create greater efficiencies in manufacturing and transport globally. Only secure NCS design methodologies can use this emerging technol ....Modelling, analysis and design of secure networked control systems. This project aims to develop models, design and analysis techniques for secure Networked Control Systems (NCS). These could control large-scale and complex distributed systems. Improved NCS technology will underpin our ability to optimise water and energy use, live in sustainable communities and create greater efficiencies in manufacturing and transport globally. Only secure NCS design methodologies can use this emerging technology to deliver benefits while protecting it against cyber-attacks. Modelling and designing secure NCS with specific networks is expected to realise the full potential of existing and emerging technology.Read moreRead less
High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commerci ....High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commercial benefits can be fast tracked for Australian industry in the rapidly expanding nanomanufacturing field. The outcomes lead to a platform technology enabling broad impact and benefits to other high-tech applications requiring high precision and throughput, enhancing Australia’s leading position in advanced manufacturing.Read moreRead less
Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe ....Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.Read moreRead less
Personalised assistive robotic systems: Optimised collaborative teaming . Robotic assistance for humans performing physical tasks provides significant benefits in various sectors from advanced manufacturing and defence through to rehabilitation, prosthetics and aged care. However, most robotic systems are designed with an average user in mind rather than tailored to the individual. This innovative project will focus on developing new techniques for adapting the interface between human and robot ....Personalised assistive robotic systems: Optimised collaborative teaming . Robotic assistance for humans performing physical tasks provides significant benefits in various sectors from advanced manufacturing and defence through to rehabilitation, prosthetics and aged care. However, most robotic systems are designed with an average user in mind rather than tailored to the individual. This innovative project will focus on developing new techniques for adapting the interface between human and robotic systems, leading to personalised physical interactions that outperform traditional approaches in achieving a shared performance goal even in unstructured environments. The tools developed will be demonstrated using state-of-the-art facilities, and will leverage the unique skill sets of the international project team.Read moreRead less