Quadrotor Aerodynamics by Philipp Foehn, University of Zurich
Entry in category 1. Object of study; Copyright CC-BY-NC-ND: Philipp Foehn
The Robotics and Perception Group of University Zurich not only allows robots to see using camera-based algorithms, but also researches the aerodynamic phenomena acting on the drones in fast and highly agile flight regimes. This allows drones to have a better understanding of their own motion model, fly more precisely at higher speeds and do more work in less time. Philipp Foehn and Elia Kaufmann work on the intersection of machine learning and model-based optimizations to improve the drones self-understanding, autonomy and flight performance. Our picture, taken by our student Leonard Bauersfeld, shows a drone flying at a high speed and angle through fog from dry ice. Visualizing the airflow and acceleration of the air around the drone allows for a better understanding of the resulting aerodynamic effects.
Quadrotor Aerodynamics by Philipp Foehn, University of Zurich
Entry in category 1. Object of study; Copyright CC-BY-NC-ND: Philipp Foehn
The Robotics and Perception Group of University Zurich not only allows robots to see using camera-based algorithms, but also researches the aerodynamic phenomena acting on the drones in fast and highly agile flight regimes. This allows drones to have a better understanding of their own motion model, fly more precisely at higher speeds and do more work in less time. Philipp Foehn and Elia Kaufmann work on the intersection of machine learning and model-based optimizations to improve the drones self-understanding, autonomy and flight performance. Our picture, taken by our student Leonard Bauersfeld, shows a drone flying at a high speed and angle through fog from dry ice. Visualizing the airflow and acceleration of the air around the drone allows for a better understanding of the resulting aerodynamic effects.