Recognising Innovation at the University of Sheffield

The Floow - May 22nd, 2014

Group of pictures showing car, computer code and diagrams

Here at The Floow, we not only receive awards for our own innovation, we’re also dedicated to recognising and rewarding new talent and ideas. For this reason, and as part of our role on Sheffield University’s Liaison Board, we set up a new award for the “Most Innovative Project” within the Department of Computer Science.

This year’s award went to MComp Computer Science student Tarlan Suleymanov. When given a small robot and asked to investigate an Artificial Intelligence (A.I.) task, rather than selecting a typical challenge, Tarlan decided he would take on the more difficult task of enabling the robot to drive and control an autonomous vehicle, without intervention from the outside world.

This involved the creation of processes that enabled the robot to not only see and understand the outside world, but also gave it the ability to indirectly control the vehicle to move within confined spaces. Although this is not a ‘self-drive car’, the idea of a humanoid robot using computer vision and A.I. to drive an existing vehicle is an innovative and hard challenge that we felt was worthy of the “Most Innovative Project Award” by The Floow.

And so, we would like to say a huge congratulations to you, Tarlan! We were very impressed with your work and we look forward to seeing where your talent and innovation takes you in the future!

Click here to watch a video of Tarlan’s robot driving a car.

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