Student Projects
Learning to fly soft drones
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.
Keywords
Reinforcement Learning, Aerial Robotics, Drones, Soft Robotics
Labels
Internship , Master Thesis
Description
Goal
Contact Details
More information
Published since: 2024-11-29 , Earliest start: 2025-01-01 , Latest end: 2025-03-31
Organization Environmental Robotics Laboratory
Hosts Mintchev Stefano, Prof.
Topics Information, Computing and Communication Sciences , Engineering and Technology