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Robotic leg learns to walk on its own

19.03.2019

New AI algorithms allow the robotic limb to learn a new walking task on its own just five minutes after playing, and then adapt to other tasks without any additional programming.

When creating a robot that can learn to walk on its own, researchers at the University of Southern California were inspired by nature: for example, the cubs of some mammals can stand on their feet within the first minutes after birth. The robotic leg is endowed with "tendons" that mimic the tendons of animals, which helps it adapt to the environment. And even if she stumbles, she can quickly recover for the next step. For the first time, the robot was allowed to understand the environment in the process of free play - so during the training he can even choose his "manner" of walking.

Unlike most modern robots, their robots learn by doing and without any prior or parallel computer simulations for learning. They added that this is especially important because programmers can predict and code multiple scenarios, but cannot foresee all possible scenarios - so pre-programmed robots are inevitably prone to failure.

The scope of such self-learning robots is diverse. They will be especially useful for creating prostheses that can be sensitive to the needs of the user. In addition, they can be used in rescue operations or in space exploration: they will be able to quickly adapt to a changed or different environment, which is not at all like our earthly one.

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