By a small modification in formation control algorithms, you can make one drone to chase another independent one.
In this video I explain how one of my algorithms is able to guide a team of drones to fly in formation requiring minimum information.
Kalman filter is a must tool in every engineer’s toolbox. I have written a course explaining in a detailed and comprehensive way all the steps involved in the Kalman filter algorithm and its actual implementation. In particular, I have focused on examples and problems very common in drones. The Home with lessons covering up to the Discrete linear Kalman filter are available.
The University of Groningen has written a reportage about my work. They have done a good job by translating my technical work to an accessible language.
I have written an intuitive flight simulator in Python for controlling quadcopters. In particular, you can try the Formation Control algorithms from my thesis, or to learn how to control the altitude and attitude of one these machines.
I have added a new lesson in the Artificial Intelligence for Mobile Robots course. This time I show, mathematically and with actual code, how to emulate the behavior of fish schools or flocking birds.
My guide about how to build your own bungee launcher. Basically you can throw whatever you want, I find it useful for my fanjet.