The robot learned to walk from scratch in just 5 minutes and developed an individual walk.

Cubs of giraffes and antelopes have amazingthe ability to adapt to walking a few minutes after birth. It allows them to immediately adapt to a hostile environment full of predators and other dangers. This feature of the young has long inspired biologists and engineers to create robotic limbs that can quickly adapt to the environment by trial and error. It seems that the technicians from the Viterbi School of Engineering finally managed to do it.

Researchers claim that they have developedThe algorithm is able to give robots an individual gait in just 5 minutes. Training takes place in a free-play mode - the extremities are rearranged until the algorithm decides that the developed gait fully ensures the stability of the robot in a specific territory. It is noteworthy that the technology does not require preliminary computer simulation, which is very common in other similar projects.

Random movements of the legs allow the robot to build a map of its limbs and understand how they interact with the environment.

Ali Marjaninejadom, co-author of the project

Self-learning puts new technologyhead and shoulders above other projects where the robot's movements are predefined by programmers. The researchers explained that developers may consider several situations in which the robot will need to make some movements, but they are unable to predict all the scenarios. Therefore, learning independently on practical experience, the robot will be able to avoid many mistakes.

Developed by researchers, the robot is capableovercome difficulties by developing unique movements. If the technology is widely used in the future, robots can be recognized even by the sound of their footsteps, since each of them will have its own manner of walking.

A new algorithm can become part of the spacedevices that can adapt to the conditions of distant planets: the abundance of large stones, low gravity and even dirt. It can also be incorporated into robotic prostheses for people with disabilities, as it will be able to study human habits and imitate movements characteristic of it.

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