In this paper, we demonstrate the ability of a single fixed-weight RNN to act as a dynamic controller for several (here 3) distinct wheeled mobile robots, without exact knowledge about their dynamics parameters. The controller is properly trained to exhibit adaptive behaviour after its weights have been fixed. This capability is a natural consequence of prior meta-learning used recently in the area of RNNs.