Robotics is where AI meets the real world of industrial applications. ANYbotics uses AI to improve its robot’s locomotion, navigation, and inspection intelligence. This video and article provide insight into how, through deep reinforcement learning, ANYmal learns to operate safely and effectively in complex terrain, such as climbing open-riser grated stairs. In their work ScienceRobotics, Hwangbo Jemin and Lee Joonho, and their colleagues at ETH Zurich convincingly demonstrated how reinforcement learning can be applied to legged robots. Within minutes and hours, the simulated ANYmal undergoes millions of variations, finally converging to a model of the best locomotion patterns.