Student Projects
Learning to Fly Soft Hovering Drones
Advances in aerial robotics and autonomy have led to remarkable achievements, primarily through multirotor drones with rigid frames. However, Nature offers a different paradigm: Animal wings are significantly more flexible than these rigid structures, yet they achieve highly efficient and agile flight. This project reimagines multirotor design by focusing on soft, deformable structures and leverages reinforcement learning (RL) to control their unique dynamics.
Keywords
Reinforcement Learning, RL, Aerial Robotics, Drones, Soft Robotics
Labels
Master Thesis
PLEASE LOG IN TO SEE DESCRIPTION
More information
Open this project... call_made
Published since: 2025-03-07 , Earliest start: 2025-03-31 , Latest end: 2025-11-17
Organization Environmental Robotics Laboratory
Hosts Maquignaz Gabriel
Topics Information, Computing and Communication Sciences , Engineering and Technology