> For the complete documentation index, see [llms.txt](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials.md).

# Tutorials

The tutorial chapter covers the following content up to now:

* [**Powering and Programming Interface**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/powerprog_interface): This tutorial walks you through how to setup the power connection and start programming with Kerloud Flying Rover series.
* [**Mission Management via Qgroundcontrol Software**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/mission_qgc): This tutorial presents details on waypoint mission management for flying rovers via customized Qgroundcontrol software.
* [**Offboard control example (ROS C++)**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/offboard_cplus): The tutorial walks you through how to operate the flying rover with ROS C++ API for waypoint missions in both rover and multicopter modes.
* [**Offboard control example (ROS python)**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/offboard_python): The tutorial introduces an example on how to operate the flying rover with ROS python API in both rover and multicopter modes.
* [**Indoor SLAM with a laser scanner**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/indoor_laser_slam): The tutorial illustrates procedures to realize indoor SLAM with a laser scanner for Kerloud Flying Rover.
* [**Autonomous indoor localization with a tracking camera**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/vision_indoor): This tutorial describes steps to achieve indoor localization with a tracking camera.
* [**Virtual Simulation**](https://cloudkerneltech.gitbook.io/kerloud-flyingrover/user-guide/tutorials/sitl): This tutorial provides steps to explore a virtual simulation environment for autonomous flights and driving.