Watch mini humanoid robots showing off their football skills

[Pelican Press 0]

Watch mini humanoid robots showing off their football skills

Footballing robots have had an upgrade. Two-legged robots trained using deep reinforcement learning, which is driven by artificial intelligence, can walk, turn to kick a ball and get up after falling faster than robots working from scripted lessons.

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DeepMind and his colleagues put battery-powered

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, which are about 50 centimetres tall and have 20 joints, through 240 hours of deep reinforcement learning.

This technique combines two key tenets of AI training: reinforcement learning sees agents gaining skills through trial and error, with a target of being rewarded for choosing correctly more often than choosing wrongly, while deep learning uses layers of neural networks – attempts to mimic the human brain – to analyse patterns within the data the AI is shown.

The researchers compared their bots against robots working from pre-scripted skills. The ones trained with deep reinforcement learning could walk 181 per cent faster, turn 302 per cent quicker, kick a ball 34 per cent ******* and get up 63 per cent faster after falling in a one-versus-one game than the others. “These behaviours are very difficult to manually design and script,” says Lever.

The research advances the field of robotics, says

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at the University of Sheffield, ***. “One of the most significant problems dealt with in this paper is closing the sim-to-real gap,” he says. This is where skills learned in simulations don’t necessarily transfer well to real-life environments.

The solution proposed by the

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DeepMind team – to use a physics engine to simulate training cases rather than have the ****** repeatedly try things in real life and use that as training data analysed by the neural network – is a useful one, he says.

But “soccer-playing robots is not the end goal”, says team member

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.

“The aim of this work isn’t to produce humanoid robots playing in the Premier League any time soon,” says Aitken, “but rather to understand how we can build complex ****** skills quickly, using synthetic training methodologies to build skills that can be rapidly, and more importantly robustly, transferred to real work applications.”

Topics:

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sport,artificial intelligence,robots
#Watch #mini #humanoid #robots #showing #football #skills

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