Multicopters
We run OKVIS [1] on our multicopter drones as a basis for fully autonomous operation. We are exploring several model-predictive controllers and are working on model-based motion planning for save navigation through free space that is reconstructed by our dense SLAM algorithms.
We have participated in the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 
2017 in Abu Dhabi together with members from Imperial’s Aerial Robotics Lab. We were admitted to the finals with some of the most well-known robotics groups from all over the world (see more here). We also regularly demonstrate our drone-related research at the Imperial Festival (see top image on the right).
Researchers:
Dimos Tzoumanikas- Marius Grimm
- Wenbin Li
Collaboration within the Aerial Additive Manufacturing project:
- Aerial Robotics Lab at Imperial College (Dr Mirko Kovac, Dr Ketao Zhang, and many more)
- UCL (Dr Robert Stuart-Smith, Dr Vijay Pawar, and many more)
- University of Bath (Dr Chris C.K. Williams, Dr Richard Ball, Dr Paul Shepherd, and many more)
Solar Aeroplanes
The described multi-sensor estimators with and without computer vision involved have been deployed on UAS. Both long-endurance solar aeroplanes as well as multicopter platforms were used to this end.
Collaborators at ETH Zurich:
- Philipp Oettershagen
- Konrad Rudin
- Amir Melzer
- Thomas Mantel
- Michael Burri
- Dr Markus Achtelik
- Dr Kostas Alexis
- Prof. Roland Siegwart
