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 researchers access to a shared resource of multiple networked Autonomous Surface Vehicles (ASVs) for remotely evaluating new sampling and path planning algorithms on real-world environmental processes over extended periods of time. The ASVs used in the multi-robot Inference system are custom designed for persistent and cooperative operation in challenging inland waterways.
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.
Height (above waterline)
33 kg (without payload)
External payload: 4 kg
2 x BlueRobotics T100 brushless electric thrusters
12V 20Ah LFP battery
2 x 40 W solar panels
Max: 2.3 ms-1
Typical survey: 0.5 - 0.8 ms-1
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.