| 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 | 87 | 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 | 87 | 2017 |
| Vision-based drone flocking in outdoor environments F Schilling, F Schiano, D Floreano IEEE Robotics and Automation Letters 6 (2), 2954-2961, 2021 | 71 | 2021 |
| 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 | 67 | 2019 |
| The effect of batch normalization on deep convolutional neural networks F Schilling KTH Royal Institute of Technology, 2016 | 59 | 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 | 51 | 2021 |
| Learning vision-based cohesive flight in drone swarms F Schilling, J Lecoeur, F Schiano, D Floreano arXiv preprint arXiv:1809.00543, 2018 | 30 | 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 | 20 | 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 | 16 | 2021 |
| Vision-based Drone Flocking in Outdoor Environments F Schilling, F Schiano, D Floreano arXiv preprint arXiv:2012.01245, 2020 | 8 | 2020 |
| Vision-based Flocking in Aerial Robot Swarms FM Schilling EPFL, 2022 | | 2022 |
Dario FloreanoProfessor of Robotics & A.I. at EPFLVerified email at epfl.ch
