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Стартап

DateDate: 23-05-2019, 05:58
Geksapod began its existence without having the slightest understanding of his environment. Thanks to the recursive function developed for self-improvement, the robot can gather information about its environment in order to fine-tune the behavior. The more experience a robot gains, the better it works.
At first glance, nothing complicated, but it is worth considering the fact that the robot must be able to determine not only its location and orientation in space, but also to “feel” the impulses of the sensors located on the machine’s lap.
By optimizing the behavior of the robot and concentrating on the task, scientists from Facebook managed to teach the robot to “walk” in just a couple of hours, not days.
It would seem that further on the hexapod should go and learn everything new. But it’s not so easy to evoke the passion of traveling with robots. However, this is exactly what the Facebook team intends to do in the next research phase.