This project studies the implementation of multi-robot systems consisting of flying robots to inspect infrastructural assets autonomously.
Team and Collaborators
Research Period and Sponsors
This research started in December 2021 and is ongoing. It has been partially funded by the ENAC Interdisciplinary Cluster Grant “ECOLE: IntElligent Systems for Automated InspeCtiOn of SteeL InfrastructurE” [link].
Related Student Projects
- DISAL-SP184: Louis Marchand, Local Navigation for the Inspection of Steel Structures
- DISAL-SP183: Dimitri Jacquemont, Point Cloud Segmentation of Infrastructural Steel Elements
- DISAL-SP180: Benjamin Koffler, Point Cloud Segmentation of Infrastructural Steel Elements
- DISAL-SP179: Constantin Decaux, State Estimation and Localization for Autonomous UAVs
- DISAL-SP173: Agatha Duranceau, Local Navigation for the Inspection of Steel Structures with a Drone
- DISAL-SP166: Amine Tourki, Development of a Robust Onboard VIO State Estimate
- DISAL-SP165: Emna Tourki, Pattern identification for the inspection of steel structures
- DISAL-SP160: Nicolas Cavedon, Development of a Realistic Quadrotor Simulation
- DISAL-SP154: Jean Decroux, Controlled Physical Interactions of Aerial Vehicles with their Environment
- DISAL-SP149: Maxime Gardoni, Development of a Realistic Quadrotor Simulation
- DISAL-SP148: Yannick Goumaz, Integration of VIO in Simulation
Videos
Publications