Subject of this bachelor thesis is the development of a framework for simulating robots and rovers in the Unreal Engine 4 (UE4). The simulation will connect to the robotic framework Robot Operating System (ROS) and provides photo-realistic images for computer vision applications. The well established hardware abstraction layer inter- face called ros control was used to support actuator control in the simulation. To extract sensory information from the photo-realistic virtual environment the rosbridge package was used. The novel proposed framework is a proof of concept for a game-engine based simu- lator with the Robot Operating System (ROS) to perform computer vision experiments without the need of the required specialized hardware. It is also possible to use this framework to gather a data set to train neural networks on or to do evaluation of existing machine learning techniques. This framework will be evaluated on the example of the European Rover Challenge (ERC). The student team from the Scientific Workgroup for Rocketry and Spaceflight (WARR) already created a simulation, which will be used as reference. The results of this bachelor thesis show that the framework does work as intended for controlling sim- ple actuators and joints, however the current physics simulation of the Unreal Engine 4 (UE4) does not provide enough stability to simulate the complex scenario proposed to test the framework without major artifacts. Moreover does the camera plugin used in this thesis influencing the physics simulation in a negative way if the parameters are changed to gain realtime high definition support. The framework does however give a real alternative to the already in use state-of- the-art solutions as it enables a easy to manipulate robotic simulator with a powerful graphics engine to support photo-realistic simulations.