Reinforcement Learning of a Pneumatic Robot Arm Controller

Abstract

We applied Reinforcement Learning (RL) on a real robot arm actuated by two pneumatic artificial muscles that expose a highly nonlinear behaviour. To facilitate learning, we developed an empirical model based on real robot observations. Using the learned simulation model, reinforcement learning was able to quickly learn good robot controllers. 1