EXPERTISE
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MECHATRONICS

ARTIFICIAL INTELLIGENCE

Micro Mechatronics

Machine Vision

Autonomous Drones

Defense Technology

Industrial & Mining

ENERGY TECHNOLOGY

Micro Grids

Power Electronics

Power Systems

Renewable Energy

Energy Network Control

ADVANCED CONTROL SYSTEMS

Distributed Control

Biomedical Control

Networked Control

Data Science

Fault Tolerant Control

Signal Processing

COMMUNICATIONS

CYBER SECURITY

Communications

Networks

Cyber Security

Wireless Communication Systems

MECHATRONICS & ARTIFICIAL INTELLIGENCE
 

SLAM for Shiploader Anti-collision

As system automation is being applied to increasingly complex tasks, autonomous systems are now operating in dynamic and non-predictable environments. This shift in the domain of operation requires autonomous systems to actively perceive the world in which they operate and make decision based on the information they gather.

In this project, the Autonomous Systems Research Centre engaged with a local industry partner (MRA) to enable perception of coal vessels using a variety of on-board sensor information. Using a mixture of Bayesian and machine learning techniques, the shiploader systems were enabled to autonomously detect points of interest, such as hatches, on coal ships.

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Nanopositioning

A nanopositioning device can move an object in one, two, three, or more dimensions. A typical range in each dimension is 10um to 200um with a resolution of 1nm, or 5 atoms of Carbon.

 

Nanopositioning devices are widely applied in microscopy, optics, semiconductor manufacturing and life sciences. This project is developing new nanopositioning devices, sensors, amplifiers, and control systems to increase the bandwidth and precision of piezoelectric nanopositioning stages.

The Precision Mechatronics Lab has developed several high-speed and highly precise nanopositioners which are being used in scientific instruments such as the atomic force microscope.

Microelectromechanical Systems (MEMS)

This work motivates a class of probes based on microelectromechanical system (MEMS) design with integrated actuators and sensors optimized for multifrequency operation. Specifically, integrated piezoelectric transduction schemes enable the miniaturization of the Atomic Force Microscope towards a cost-effective single-chip device with nanoscale precision in a much smaller form factor than that of conventional macroscale instruments.

The Precision Mechatronics Lab has developed several active microcantilever designs which are being used in scientific instruments such as the atomic force microscope. Significant collaborative research efforts also went towards developing a single-chip atomic force microscope.

Stockpile Profile Mapping with MRA and PWCS

Ports and mines use large stockpiles of bulk material as a storage buffer. The process of adding new material to a stockpile is called stacking, and the removal of material is called reclaiming. Stacking and reclaiming are typically performed by large machines that interact with the stockpile and these machines form part of the critical path and directly effect port efficiency. To automate and optimise stacking and reclaiming it is vital that the machines are aware of the stockpile profile, especially since the profile can change over time due to changing environmental conditions.

To this end, the Autonomous Systems Research Centre engaged with local partner MRA and to deliver real-time modelling of stockpiles based on a fusion of mass-flow principles and Radar and Laser scanning sensors. This approach is proving to be very successful and is currently undergoing commercialisation. This work is in collaboration with Port Waratah Coal Services and Abbot Point Coal Terminal.

 
 

COMMUNICATIONS AND CYBER SECURITY

Wireless Communications for the Internet of Things

This research develops new communication strategies to accommodate the exponentially increasing number of d internet of things (IoT) devices. The project is working towards non-orthogonal uncoordinated (grant-free) massive access strategies, where devices transmit data opportunistically over shared channel resources.

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Wireless Communications for Federated Learning

This research develops new wireless network architectures and algorithms to support “edge AI” - visioned to be a key component of 6G. The outcomes will unlock the aggregate sensing and computing power of billions of wireless devices. They will enable distributed and secured machine learning in real time and over the air.

Post-quantum Data Encryption

This research secures data against espionage, by developing data encryption methods that can be proven to be unbreakable. The outcomes are future-proofed data encryption that are resistant to the advancements of quantum computers, which will soon threaten the current encryption systems.

Energy Harvested IoT Networks for Industry 4.0

This research develops new embedded green networking architecture to support seamless connectivity to large number of distributed low energy devices. The research is working on intelligent green networking solution by integrating low power electronics and cognitive networking techniques. Research outcome will enable billions of IoT field devices to transmit data virtually at no energy cost.

5G Based V2X Networks for Intelligent Transportation Systems

This research concentrates on the development of future intelligent transportation network infrastructure using the emerging PC5 interface of the 5G LTE (Long Term Evolution) standard. This research concentrates on the development of efficient and flexible V2X (Vehicle to Anything) architecture which will significantly enhance road user’s safety, comfort and reduced journey time to reduce carbon footprint of the transportation sector.

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