Learning to fly soft drones

• ETH Zurich
• Environmental Robotics Laboratory

Advances in aerial robotics and autonomy have led to remarkable achievements, primarily through the use of drones with rigid frames. However, nature offers a different paradigm: animals’ wings are significantly softer than these rigid structures, yet they achieve highly efficient and agile flight. This project reimagines aerial drone design by focusing on soft, deformable frames and leveraging machine learning to control their unique dynamics.

• Intelligent Robotics, Robotics and Mechatronics
• Internship, Master Thesis