Automated Dataset Collection via Artificial Curiosity

Project description

Collecting datasets is time consuming but is often necessary for current deep learning techniques. A more appealing method is to automatically collect datasets by having robots explore their surroundings themselves.

This has been possible in the past but has required much hand-engineering. With advancements in intrinsic reward and “artificial curiosity” collecting diverse datasets could be much easier.

We look at investigating this further by applying state of the art self-supervised techniques to collect a motion capture dataset of a robotic arm manipulating its surroundings. This will build on top of this work.

Requirements and eligibility

We expect to see a record of a satisfactory academic standard.

Required skills: Programming (C++, Python) and experience with robot simulators. Experience with robot arms and ROS is beneficial.

How to apply

Industrial internships are not part of a formal program so to apply please contact Dr David Howard via david.howard@csiro.au to discuss your interest.

Please supply the following information and documentation at time of contact for your application to be considered:

• a current c.v.
• details of grades or an academic transcript
• the degree you are enrolled in
• number of years completed