Federated Learning is a computing paradigm that shift the concept of learning from a single to a distributed system. Many applications have been considered in literature, for example mobile edge computing. In this context, robotic is an emerging trend, which takes advantage in terms of infrastructure optimization, such as resource allocation and communication efficiency, as well as in business solutions. In this poster, we propose a novel framework for submitting FL jobs on ROS-based devices. The framework, called FedROS, composes the containers of FL clients and server ROS2 packages programmatically.