Learning Vision-based Flight in Drone Swarms by Imitation F Schilling, J Lecoeur, F Schiano, D Floreano IEEE Robotics and Automation Letters 4 (4), 4523-4530, 2019 | 77 | 2019 |
Geometric and visual terrain classification for autonomous mobile navigation F Schilling, X Chen, J Folkesson, P Jensfelt 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 75 | 2017 |
Vision-based Drone Flocking in Outdoor Environments F Schilling, F Schiano, D Floreano arXiv preprint arXiv:2012.01245, 2020 | 70 | 2020 |
Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System T Klamt, D Rodriguez, L Baccelliere, X Chen, D Chiaradia, T Cichon, ... IEEE Robotics & Automation Magazine 26 (4), 59-72, 2019 | 64 | 2019 |
The effect of batch normalization on deep convolutional neural networks F Schilling KTH Royal Institute of Technology, 2016 | 56 | 2016 |
Viode: A simulated dataset to address the challenges of visual-inertial odometry in dynamic environments K Minoda, F Schilling, V Wüest, D Floreano, T Yairi IEEE Robotics and Automation Letters 6 (2), 1343-1350, 2021 | 42 | 2021 |
Learning vision-based cohesive flight in drone swarms F Schilling, J Lecoeur, F Schiano, D Floreano arXiv preprint arXiv:1809.00543, 2018 | 27 | 2018 |
On the scalability of vision-based drone swarms in the presence of occlusions F Schilling, E Soria, D Floreano IEEE Access 10, 28133-28146, 2022 | 15 | 2022 |
Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning V Ramachandran, F Schilling, AR Wu, D Floreano Advanced Intelligent Systems 3 (11), 2100043, 2021 | 15 | 2021 |
Vision-based Flocking in Aerial Robot Swarms FM Schilling EPFL, 2022 | | 2022 |