Our paper titled Multi-robot motion-formation distributed control with sensor self-calibration: experimental validation has been shortlisted with another nine works for the best-paper award in the 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018). This conference hosts around 300 accepted works and more than 1000 authors are involved.
In this work, we validate our predictions on distributed formation control of robots with biased sensors, and we exploit our findings to coordinate teams of robots without any global positioning system.
So far all my results with rotorcraft were in simulation… until now! In this experiment, performed at TU-Delft (thanks Ewoud Smeur!), a team of four rotorcraft behaves as a single unit. The proved stability properties of the whole system allows for applications such as collaborative transportation of objects.
My team at ENAC participated in the 2017 IMAV competition where we won the 1st place for the best drone parade!
A less technical demonstration of my multi-uav work. In this video you can enjoy the aerobatic maneuver of having two aircraft in the same line but with opposite direction! This is possible thanks to the given accuracy by the guidance vector field.
Our VTOL vehicle is in the air! Collaboration with MAV lab at Delft university.
One of my formation flight algorithms applied in the real world. Enjoy!
I have written with my friend Yuri Kapitanyuk (the main idea was from him) an algorithm for solving the problem of tracking smooth curves by an unmanned aerial vehicle travelling with a constant airspeed and under a wind disturbance. The algorithm has been successfully tested on actual drones! You can find more details about it at my Guidance Vector Field for drones page.