If you want to learn the basic concepts for autonomous navigation with quadrotors, probabilistic state estimation, linear control, and path planning, and other concepts, edX is organizing a course related to the Autonomous Navigation for Flying Robots.
You will learn how to infer the position of the quadrotor from its sensor readings, navigate along with a series of waypoints, and plan collision-free trajectories. The programming exercises will require you to write small code snippets in Python to make a quadrotor fly in simulation.
edX will provide a web-based quadrotor simulator that will allow you to test your solutions in simulation. However, they took special care that the code you will be writing will be compatible with a real Parrot Ardrone quadrotor. If you happen to have a Parrot AR-Drone quadrotor, we encourage you to try out your practical solutions.
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