Projects

The next generation of autonomous sensors begins here.

Accelerating Deployment of Intelligent Sensor Platforms

Using alternative sensing modes this project will enable improved development of sensor data analytics. Please read on to learn about another sensor goal.

Automating sampling and sensing of contaminants in the shallow regolith

The Earth’s shallow regolith (top 10 to 20 m below ground surface) is a zone heavily impacted by various contaminants largely resulting from anthropogenic activities such as mining, agriculture, industry, and conflict. The zone itself plays an important role in terms of ecosystems and biodiversity, but also it provides some protection to groundwater supplies. The management and remediation of soil and groundwater from contaminants is estimated to cost in the order of >$2B per annum.

Autonomous Systems for Marine Observations

This project will further the field of underwater robotics by developing and expanding approaches to vehicle mission planning, beginning in lower-risk coastal (shallow) conditions.

Communicating Qualitative Uncertainty in Multi-Sensor Data Fusion

This project will develop algorithms, knowledge representation and human-computer interface design to better communicate qualitative uncertainty to the end users, […]

Extending the Limit of X-Ray Technologies: Detection of Biosecurity Threats in Agricultural Produce

The creation of an imaging technology that combines X-ray imaging, computational and biosecurity expertise will not only revolutionise biosecurity, but can be applied across multiple domains.

High Altitude Remote Sensing for Agricultural Applications

High altitude pseudosatellite (HAPS) can fill the gap between satellites and drones by providing continuous, automated, and very high resolution imagery of crops, and can operate autonomously, potentially providing the ideal imaging platform for agricultural remote sensing. 

Hydrogen gas sensor based on SnO2-Pd based nanomaterials

Hydrogen exists naturally in the environment in low levels. Australia’s environment is harsh and remote so we aim to create […]

Low-Cost Optical Sensors for Water Quality IOT Networks

An Internet of Things (IOT) solution is the most cost-effective approach to meeting the goals of ubiquitous, autonomous sensing across the Australian aquatic landscape.

Measuring Light Elements for Mineral Process Control

Mines are increasingly interested in monitoring the content ‘penalty minerals’ during process control, where penalty minerals are minerals that do not contain valuable metals but can be disruptive to processing.

Micro-Power Underwater Mesh Networks “Underwater Internet of Things”

Reliable communication in the marine environment poses considerable challenges. RF (Radio Frequency) based solutions such as WiFi, Bluetooth, LoRa will not function well underwater over appreciable (>1m) distances. Lower frequency RF energy (e.g., VHF, HF etc.) may propagate a few meters underwater but this is still not practical for building underwater wireless networks.

Mobile Sensor Platform to Sample Complex and Spatially Variable Environments for Plant and Soil Attributes

Labour is a large contributor to agricultural input costs; the operations are repetitive, occur in harsh environments and are critical for cost-sensitive decision making. This project will develop the ‘Agronaut’, a scouting robotic platform to sense and monitor crop growth and quality, and field’s micro-climate conditions.

MyMate and Internet of Robotic Things Platform for Aged Care

MyMate is an Internet of Robotic Things (IoRT) environment designed to support aged care.

Non-linear Electromagnetics for Real-Time Materials Detection

The applications of magnetic resonance can be greatly improved by measuring the response from non-linear material properties.

Ocean Carbon Sensing

This project will develop new generation autonomous carbon chemistry sensors for our large oceans and water bodies globally. The Problem […]

Sensor Development for Quantification and Prediction of Provenance Attributes of Agricultural Products

This project aims to increase the trust of the agricultural supply chain by developing rapid, robust methods linking the physical […]

Software Framework for Sensor Network Design

A software development framework that interfaces with different operating systems and development tools will enable the rapid development of reliable sensor networks.

X-Ray Scattering

Many thousands of tons of low-grade ore are incorrectly processed yearly consuming large amounts of energy, water and environmentally harmful chemicals, costing mines many millions of dollars yearly.