By means of various deep-learning frameworks, thousands of simulations and/or training sets for reinforcement learning are run on the in-house servers at Spengergasse Technical School and the Technical University of Vienna and subsequently tested on the Hexapod. However, to get a clearer picture of its physical surroundings, the Hexapod has recourse to a stereo camera, which puts the information about these surroundings to use. Thanks to object recognition capabilities, the robot can navigate independently in it field of deployment and execute tasks.