Thanks for your advice. I agree with you that when possible, writing these integration tests in a language such as Python will be much quicker than using C++/gtest. In the context of our (research) project, we want to create a (ideally language agnostic) framework for specifying tests with pre-conditions, invariants and post-conditions. These conditions would be verified using both intrinsic data from the robot and data from an external sensing system such as a laser scanner, rgbd-camera or mocap. It's likely that neither `pytest` or `gtest` will be of much use, as we are interested in contributing towards better tools within ROS for constructing these kind of tests. --- [Visit Topic](https://discourse.ros.org/t/revising-the-gtest-tutorial/4588/5) or reply to this email to respond. If you do not want to receive messages from ros-users please use the unsubscribe link below. If you use the one above, you will stop all of ros-users from receiving updates. ______________________________________________________________________________ ros-users mailing list ros-users@lists.ros.org http://lists.ros.org/mailman/listinfo/ros-users Unsubscribe: