Instead of teaching the robot to individual actions, researchers created a holistic system that allowed the robot to strategically think and adapt the walk to a particular area, as animals did. This will create a four -legged robot that can make instinctive biomechanical movements.
The created AI system uses movement, pressure sensors and other analogs of animal emotions. For nerve network training, a virtual environment was created to minimize the energy and time consumption of artificial intelligence to ensure the stability of the robot.
Scientists developed scenarios with a cross -field. Moreover, after Nine -hour training, the AI effectively controlled the real robot. The test robot learned to adapt to relaxation and restore the balance.
Source: Ferra

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