For access to the Inference Robotic Adaptive Sampling system please email Dr Matthew Dunbabin at firstname.lastname@example.org. The access proposal template will be available July 2015.
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The Inference Robotic Adaptive Sampling system has been developed with the goal of providing a shared resource of multiple networked ASVs to allow researchers to remotely evaluate new sampling algorithms on real-world processes over extended periods of time.
The Inference Autonomous Surface Vehicle (ASV) is a small-class robotic boat designed to undertake sampling and survey tasks in sheltered water environments. The Inference platform has an interchangeable and customisable payload system allowing a large range of survey and environmental sampling tasks. The ASV can be operated manually with remote control or fully autonomously to maximise field time and transect repeatability. Typical applications include bathymetric survey, water quality monitoring, sample collection, fugitive gas emission measurement, infrastructure inspection, riparian and underwater image collection.
Dunbabin, M. (2015). Autonomous greenhouse gas sampling using multiple robotic boats. To Appear: Proc. 2015 International Conference on Field and Service Robotics (FSR), Toronto.
For information on robotics related research at the Queensland University of Technology please visit the following links.