Autonomous Systems Laboratory
CSIRO ICT Centre's Autonomous Systems Laboratory is developing automation technologies for application in fields such as environmental monitoring, agriculture, mining, manufacturing, and for the energy sector. The key research areas within the laboratory are field robotics and wireless sensor networks. Our research has produced new techniques for the autonomous control of machines, 3D perception and localisation, and for the setup and operation of large scale outdoor wireless sensor networks. These techniques are combined to produce novel solutions for industry.
The Autonomous Systems Laboratory welcomes the opportunity to build partnerships with companies interested in the application of our research. We also invite approaches from other research groups interested in collaborating with us.
We are developing technologies that will allow robotic systems to assist or replace humans performing tasks that are difficult, repetitive, unpleasant, or take place in hazardous environments. Our research focusses on methods for improving three-dimensional situational awareness, including sensing surroundings, constructing world models from sensor data, and detecting and interacting with obstacles and other moving objects. We focus on developing robust, reliable robotic systems that can operate for long periods in complex, dynamic, and unforgiving environments such as mine sites, industrial facilities, sub-sea oil fields, waterways, and low altitude airspace.
We are developing wireless sensor networks that will revolutionise the collection of data for applications such as environmental and infrastructure monitoring. These networks will provide long-term high quality, high resolution and low-cost data that will lead to improved management outcomes. Our research addresses the challenges of programming, deploying, and operating networks of many thousand of nodes over large geographical areas where the nodes must be able to run for many years without hands-on maintenance and using only power harvested from the environment (e.g. via solar panels).
Our research is concerned with recognising patterns and detecting events from data, as well as modelling and simulating complex self-organising systems. Techniques we have developed are being applied to the problems of detection of gas in underground coal mines, designing adaptive power grids, structural integrity modelling, optimal sensor configuration, and distributed fault detection and self-healing for wireless sensor networks.
We are located at the Queensland Centre for Advanced Technologies (QCAT) in Brisbane and on the Macquarie University campus in Sydney.