Tutorials

The tutorial chapter covers the following content up to now:

Powering and Programming Interface : This tutorial walks you through how to setup the power connection and start programming with the TAObotics Q series.
Offboard Control with Mavros (C++): This tutorial introduces an offboard control example (C++ language) for a waypoint mission using the mavros package.
Offboard Control with Mavros (Python): The tutorial introduces an example on how to operate TAObotics Q with the mavros package via Python.
Virtual Simulation: This tutorial provides steps to explore a virtual simulation environment for autonomous flights.
Real Time Visual Recognition: This tutorial guides you through how to get the Nvidia Jetson computer started for real time visual recognition with the onboard CSI camera.
Deep Learning in ROS: This tutorial introduces the details on how to integrate the deep learning capability from the Nvidia community in ROS.
Indoor Positioning with Optical Flow: This tutorial presents details to realize indoor positioning based on optical flow with minimum setup for TAObotics Q.
Enabling Autonomous Indoor Flight with a Tracking Camera: This tutorial describes the steps to achieve autonomous indoor flights with our Q300 Indoor UAV.
Visual Inertial System (VINS) with Stereo Vision and GPU Acceleration: This tutorial provides a guidance to realize a GPU-accelerated visual inertial system (VINS) by fusing stereo vision and IMU data.
Flight Data Analysis: This tutorial covers procedures to analyze flight performance with onboard data logs.

Coming Soon

More advanced features are coming soon for our TAObotics Q series, and they are not limited to: