The neural network-based system uses the experience of 882,000 training simulations to quickly locate the spot on the wall that is most likely to provide the best stability for the robot. He doesn’t need to know what happened to his leg, and he can extend his hand as fast as a human.
As a result, instead of falling to the ground, the robot is pressed against the wall like a person who has lost his balance.
D-Reflex does not guarantee fall prevention as it cannot account for all possible locations and surfaces, and you will not see the robot limping against the wall until you find help. In addition, it will not be able to tilt during movement, the system only works when the robot is idle for now.
Source: Ferra
