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
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
Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on s ....Control and Optimization of Distributed Multiagent Formations. The project aims to develop a conceptual framework and algorithms for handling multi-vehicle formation control. Formations of unmanned airborne vehicles are currently used by defence forces and swarms of micro-vehicles are beginning to find increasing use in defence and for civilian emergency response, largely for surveillance purposes. Vehicles must cooperate to achieve a global formation objective, while respecting constraints on sensors, energy, and general mechanical limitations. The project aims to resolve the challenges of deciding what a single vehicle should observe, what and to where it should communicate, and how it should move in relation to what it sees. The conceptual framework developed may also be relevant in guiding future defence acquisitions and civilian applications.Read moreRead less
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and c ....A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and convex optimisation, extending the power of optimisation-based control from linear to non-linear systems. The project is expected to lead to new theoretical developments, constructive algorithms and software, and experimental demonstrations on a range of platforms including bipedal walking robots and underwater robots.Read moreRead less
Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage contr ....Advanced coverage control techniques for mobile networked systems. This project aims to efficiently control individual mobile sensors and actuators to achieve network-wide coverage quality for monitoring and control of industrial and environmental processes. Coverage control of mobile networked systems is important in control engineering due to the growing use of mobile robots and mobile wireless networks for sensing coverage and monitoring. The project will develop techniques for coverage control of mobile networks which are expected to solve industrial control problems in the defence, communications and robotics industries and manage the environment.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101503
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Design of a biologically inspired running and climbing robotic lizard. Watch any movie and it will tell you that robots are the future. The trouble is that recent attempts to build running and climbing robots have had limited success. This project explores locomotion of lizards to improve upon shortfalls in current robotic design, to build biologically inspired robots capable of running and climbing up and down walls.