Felix helped develop the first revision of custom electronics and firmware for the quadrocopters used in the Flying Machine Arena.
Dr. Federico Augugliaro
Federico started working on the Flying Machine Arena in 2008, contributing to the Music in Motion project. During his PhD from 2011 and 2015, Federico developed algorithms for multi-vehicle coordinated flight, physical human-quadrocopter interaction, and aerial construction. He concluded his work by using flying machines to build a 7.4 m long rope bridge you can walk on.
Dr. Dario Brescianini
Dario carried out his doctoral research in the Flying Machine Arena from 2013 to 2018. His research focused on the design and control of novel flying machines, trajectory planning, attitude control and learning. He was the main developer of the Omnicopter, a high performance flying machine that can generate thrusts and torques in any direction and enables novel flight maneuvers. Additionally, he contributed to various core algorithms of the Flying Machine Arena including the control and simulation algorithms.
Dr. Guillaume Ducard
Guillaume contributed to the initial setup during his postdoc in 2008. He designed the very first flight control and guidance systems for the quadrocopters. He also developed the first version of the simulator, which enabled the design and debug of various flight controllers, guidance algorithms, and multi-vehicle coordinated flights.
Dr. Luca Gherardi
Luca focused on improving the Flying Machine Arena software architecture. During his PostDoc, he designed and implemented flexible communication protocols used to exchange information between vehicles and offboard control software. This information includes quasi real-time command, high level command, configuration parameters, and state information. Additionally he contributed to the design of a new, more modular, and more flexible simulator.
Dr. Rajan Gill
Rajan Gill was part of the Flying Machine Arena team from 2015 to 2019. His research had an interdisciplinary focus covering various aspects relating to VTOL UAVs: 1) deriving low-order, yet computationally efficient aerodynamic models for propellers in wide regimes; 2) improving upon state-of-the-art Kalman filtering methods for states involving attitudes, and 3) the design and control of an annular wing VTOL UAV. He also worked on path following control algorithms for quadrotors that can, for example, achieve a platoon formation while maintaining a path constraint.
Dr. Markus Hehn
Markus worked on the Flying Machine Arena from 2009 to 2014. He contributed to and maintained the system’s core control, estimation, calibration, and simulation algorithms. Markus also developed real-time trajectory generation algorithms, collision avoidance methods, control laws for improving tracking performance in repeated motions, and task-specific controllers for aerobatic flight such as interception maneuvers and balancing an inverted pendulum on a flying robot.
Dr. Anton Ledergerber
Anton Ledergerber was part of the Flying Machine Arena team from 2015 to 2019. His research focused on ultra-wideband localization and state estimation. In particular, he developed a one-way communication protocol, a calibration procedure and a novel angle of arrival estimation method that allowed for accurate localization of multiple robots. Additionally, he worked on a state estimate recovery algorithm for autonomous quadcopters and an ultra-wideband radar network.