The SMART platform, introduced in a recent arXiv paper by Liang et al. (2022), is a scalable emulation platform for multi-robot reinforcement learning (MRRL). It consists of a simulation environment for training and a real-world multi-robot system for performance evaluation. The platform aims to bridge the gap between MARL research and its practical application in multi-robot systems, enabling researchers to develop and test algorithms in a more realistic setting.