IEEE University of Lahore

IEEE

Robots Made Out of Branches Use Deep Learning to Walk

Researchers used deep reinforcement learning to teach these strange robots how to move

Designing robots is a finicky process, requiring an exhaustive amount of thought and care. It’s usually necessary to have a very clear idea of what you want your robot to do and how you want it to do it, and then you build a prototype, discover everything that’s wrong with it, build something different and better, and repeat until you run out of time and/or money.

But robots don’t necessarily have to be this complicated, as long as your expectations for what they should be able to do are correspondingly low. In a paper presented at a NeurIPS workshop last December, a group of researchers from the University of Tokyo and Preferred Networks experimented with building mobile robots out of a couple of generic servos plus stuff you can find on the ground, like tree branches. 

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