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These Self-Learning Robots Can Figure Out How to Move Forward, and Do It Fast 16 May 2021, 7:05 UTC ·
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Some robots look complex or even threatening, but what most of them have in common is that they are programmed to perform specific actions. Well, what if a robot were able to learn as it goes and modify its actions accordingly? This is what researchers at AMOFL Institute, in the Netherlands, wanted to test.
The result is a self-learning system comprised of several small and simple robots, which manages to teach itself how to move similarly to a train, on a circular trajectory. In order to get there, the first step was to choose very simple individual robots. According to Bas Overvelde, Principal Investigator of the Soft Robotic Matter group at AMOLF, it was important to demonstrate that a robot can learn to adapt to the environment even without complex models.