Projects

Agriculture

Wireless sensor networks can provide farmers with real-time measurements of parameters such as soil moisture, crop health, and animal movement. This data will help inform practices for sustainable agriculture and help farmers to more accurately and effectively control activities such as irrigation, planting, stock movement, and pesticide application. Networks of nodes with both sensors and actuators will eventually not only monitor the agricultural environment but also control it intelligently.

ASKAP Project

The aim of this project is provide expertise to the Australia Telescope National Facility in the development of a number of aspects involved with the Australia SKA Project.

Biosecurity Collaboration Platform

This project is investigating new ways to improve collaboration at the Australian Animal Health Laboratory.

Blended Interaction Spaces

The Blended Interaction Space (BIS) concept combines video conferencing elements and distributed shared interactive digital screen elements to support distributed hands-on collaboration in the workplace in a way that participants feel as if they are physically together.

Cognitive Wireless Project

Delivering ad hoc communications technologies to enable flexible wireless network deployments.

Condamine Balonne

This project examines two technologies that can be used in the management of water resources. The Condamine-Balonne river system, in Queensland, is used as a test case to evaluate the research.

CSIRO Rural Broadband Access Project

CSIRO’s Rural Broadband Access is a novel, spectrally efficient, fixed wireless communications system that is capable of providing 100 Mbps broadband access for up to 1000 subscribers simultaneously with one base station.

CSIRO Rural Broadband Backhaul Project

This project aims to achieve long range (>50 km) multigigabit wireless backhaul communicaiton links, in the microwave spectrum (6-11 GHz).

Environmental Monitoring

Wireless sensor networks provide the ability to measure and record information about the natural environment at a spatial and temporal scale that has never previously been possible. Information from wireless sensor networks will transform our understanding of the environment, and will motivate and inform the development of new practices for environmental management.

Environmental Sensing

Increasing the capability of Wireless Sensor Networks to help understand the environment.

Human Factors in Telerobotics

The research draws on new trends in human computer interaction (HCI) research in 3D interactions, examines interaction techniques and user interface requirements for 3D applications using virtual reality, augmented reality and large screen display systems.

Information Engineering for Socio-cognitively motivated networks

This project will leverage data mining and natural language processing techniques to assist information analysts in discovering non-obvious social networks from large collections of text documents.

Intelligent Energy

We are developing new ways of controlling and managing energy usage and generation through the application of techniques in machine learning, optimisation, and automatic adaptive control. Our research is being applied to the problem of controlling local renewable energy generators, residential energy consumption, and the energy consumption of large electrical loads such as heating, ventilation and air-conditioning (HVAC) systems. Ultimately our research outcomes will allow a significant reduction in CO2 emissions associated with small-scale electricity generation, as well as more effective use of electricity in large loads such as air-conditioning systems. Our technology will provide information to consumers that will afford them greater choice and enable them to responsibly modify their consumption patterns.

Materials Handling

We are developing technology to enable autonomous vehicles to manipulate and interact with the environment rather than simply navigating through it. Typical tasks that are ripe for automation include the movement and stacking of containers, and the clearing of debris after a natural disaster. In order to perform such tasks, an autonomous vehicle must be capable of mapping the ever-changing environment and localising itself at a macro level (sufficient for navigation) within that environment. It must also be capable of recognising and tracking objects and performing fine-grained localisation to enable the pick-up and accurate placement of payloads. The vehicle must be capable of both short and long term task planning, as well as reacting to externally-imposed changes to the environment.

Mining Automation

We are developing state of the art sensing, control, and planning systems that will enable the automation of mining activities - primarily excavation and material handling. Successful development and deployment of this technology will allow surface and underground mining to be carried out more efficiently, safely, and with less human intervention than is currently required. Automation will ultimately enable mining operations to proceed in remote and harsh environments, such as on the surface of other planets.

OptIPortal

OptIPortal Construction - With support of the Computational and Simulation Sciences TCP we are constructing OptIPortals.

Position Location Project

The aim is to develop ad hoc wireless network nodes which can self localize and track position both indoors and outdoors to sub meter accuracy.

Semantic Frameworks for hydrological Sensor Webs

 

Service Management Framework

This project aims at building an integrated framework for Web services to be treated as first class objects. In this framework, Web services would be able to queried, composed, trusted, and changed. This project will enable the exploration of research issues pertaining to the whole Web service lifecycle.

Services Engineering

The Services Engineering project undertakes activities which use semantic information integration and retrieval technologies that are being created in the Information Engineering Lab and applies them to eResearch applications.