However, he first has to learn this adaptation process. If the robot meets the obstacle for the first time, it falls backwards because it has not yet learned to respond to the increase with a change in its posture and stride. Within a few tries, however, the robot manages to cope with the slope just as children learn to walk by mistake. Once the robot has learned that it needs to adjust its posture and stride to cope with a climb, it can apply that principle to ramps unknown to it.
"The special feature of the robot is that the learning process enables it to master an increase, " continues Wörgötter. The rapid change of gait is made possible by the hierarchical structure of the motion control. As long as the movement process can remain unchanged, the sensors on the legs and the body control the movement of the robot. They ensure that the joints are not overstretched or that the next step is triggered as soon as the foot touches the ground. Only when an adjustment of the movement is necessary, higher hierarchical levels intervene in the control.
A video showing the learning process of the robot climbing a slope can be seen here. displayPoramate Manoopong (University of Göttingen) et al .: PLoS Computational Biology, vol. 3, p. 7, p. E134 ddp / science.de? Tobias Becker