Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research out ....Muscle-based Signals for Responsive Physically-Assistive Robotics. This project aims to develop a physically assistive robot for industrial use that interprets signals from the human user’s muscles during a physical activity and responds with appropriate assistance. This is significant because the robot must accommodate the complexity of movement required in industrial settings and adapt to variabilities in muscle activation signals among users that also change in time. The expected research outcome is an intuitive, assistive robot worn by the human workforce that enhances their productivity and longevity, improves working conditions, lowers production costs, and increases workforce resilience. The robot’s capabilities will be demonstrated in this project through the challenging activity of sheep shearing.Read moreRead less
Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
Laser-based dynamic measurements, model identification and error compensation for multi-arm robotic pre-fabrication of structural components. The aim is to establish methodologies for laser-based dynamic measurements, accurate model identification and error correction in multi-arm cooperative robotic manipulation systems. The expected outcomes include development of enabling technologies and the world's first automated fabrication system for structural timber components. The novel methodologi ....Laser-based dynamic measurements, model identification and error compensation for multi-arm robotic pre-fabrication of structural components. The aim is to establish methodologies for laser-based dynamic measurements, accurate model identification and error correction in multi-arm cooperative robotic manipulation systems. The expected outcomes include development of enabling technologies and the world's first automated fabrication system for structural timber components. The novel methodologies established will increase safety, and improve and automate the fabrication of wall frames, roof trusses, and floor and ceiling panels for housing, industrial and commercial projects within Australia and overseas. Other application areas include multi-arm manufacturing and handling of large components, materials handling in hazardous environments, and robotic servicing tasks in remote places.Read moreRead less
New Optimisation and Control Technologies for Milk Powder Manufacturing Processes. Advanced optimisation and control are considered to be one of the top technologies that help milk powder producers operate their plants more efficiently. However, the successful implementations of these technologies are limited due to poor understanding of the relationship between raw material variations and process disturbances with the target variables. Moreover, uncertainties in process measurements also preven ....New Optimisation and Control Technologies for Milk Powder Manufacturing Processes. Advanced optimisation and control are considered to be one of the top technologies that help milk powder producers operate their plants more efficiently. However, the successful implementations of these technologies are limited due to poor understanding of the relationship between raw material variations and process disturbances with the target variables. Moreover, uncertainties in process measurements also prevent reliable control and effective optimisation. This project aims to address these gaps by developing new optimisation and control methods based on effective model reduction and uncertainty process variable identification, to enable Australian milk powder manufacturers to continuously improve productivity and reduce cost.Read moreRead less
Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift ....Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.Read moreRead less
Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
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
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Hybrid additive manufacturing of critical metallic components. This project aims to combine world-class expertise and facilities to deliver on-demand and advanced alloy components produced by revolutionary hybrid additive manufacturing technology, along with applicable processing parameters and post-process schemes for fabricating high-performance metal products for space and aerospace applications. The intended outcomes of this project include the delivery of a knowledge platform for fabricatin ....Hybrid additive manufacturing of critical metallic components. This project aims to combine world-class expertise and facilities to deliver on-demand and advanced alloy components produced by revolutionary hybrid additive manufacturing technology, along with applicable processing parameters and post-process schemes for fabricating high-performance metal products for space and aerospace applications. The intended outcomes of this project include the delivery of a knowledge platform for fabricating alloy parts that have unprecedented high-temperature mechanical properties and environmental performance and providing significant benefits for the industry partner to establish its international portfolio of high-profit products.Read moreRead less
Development of High Performance Mechanical Sorting of Plastics for Recycling. This research program aims to develop and test a range of high performance, mechanical in-process plastics sorting technologies in conjunction with Australia's lead recycling company. Currently, recycling techniques result in an insufficient purity and quality level, thus limiting the extent of recycling and opportunity for end product applications. Increasing the purity of recycled plastics and economics of recyclin ....Development of High Performance Mechanical Sorting of Plastics for Recycling. This research program aims to develop and test a range of high performance, mechanical in-process plastics sorting technologies in conjunction with Australia's lead recycling company. Currently, recycling techniques result in an insufficient purity and quality level, thus limiting the extent of recycling and opportunity for end product applications. Increasing the purity of recycled plastics and economics of recycling, without compromising throughput levels, will result in an increase in recycling rates and the range of applications of recycled plastics.Read moreRead less