Automated Dataset Collection via Artificial Curiosity
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 email@example.com 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
Dr David Howard via firstname.lastname@example.org.