Florian Achermann

According to our database, Florian Achermann authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Data for "Autonomous and efficient large-scale snow avalanche monitoring".

Jaeyoung Lim, Elisabeth Hafner, Florian Achermann, Rik Girod, David Rohr, Nicholas R. J. Lawrance, Yves Bühler, Roland Siegwart

Dataset, January, 2026

2024

Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon.

Simon L. Jeger, Nicholas R. J. Lawrance, Florian Achermann, Oscar Pang, Mirko Kovac, Roland Yves Siegwart

IEEE Robotics Autom. Mag., June, 2024

Safe Low-Altitude Navigation in Steep Terrain With Fixed-Wing Aerial Vehicles.

Jaeyoung Lim, Florian Achermann, Rik Girod, Nicholas R. J. Lawrance, Roland Siegwart

IEEE Robotics Autom. Lett., May, 2024

Autonomous Active Mapping in Steep Alpine Environments with Fixed-wing Aerial Vehicles.

Jaeyoung Lim, Florian Achermann, Nicholas R. J. Lawrance, Roland Siegwart

CoRR, 2024

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV.

Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

CoRR, 2024

Energy-Optimized Planning in Non-Uniform Wind Fields with Fixed-Wing Aerial Vehicles.

Yufei Duan, Florian Achermann, Jaeyoung Lim, Roland Siegwart

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Watching the Air Rise: Learning-Based Single-Frame Schlieren Detection.

Florian Achermann, Julian Andreas Haug, Tobias Zumsteg, Nicholas R. J. Lawrance, Jen Jen Chung, Andrey Kolobov, Roland Siegwart

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Fisher Information Based Active Planning for Aerial Photogrammetry.

Jaeyoung Lim, Nicholas R. J. Lawrance, Florian Achermann, Thomas Stastny, Rik Bähnemann, Roland Siegwart

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

RoBoa: Construction and Evaluation of a Steerable Vine Robot for Search and Rescue Applications.

Pascal Auf der Maur, Betim Djambazi, Yves Haberthür, Patricia Hörmann, Alexander M. Kübler, Michael Lustenberger, Samuel Sigrist, Oda Vigen, Julian Förster, Florian Achermann, Elias Hampp, Robert K. Katzschmann, Roland Siegwart

Proceedings of the 4th IEEE International Conference on Soft Robotics, 2021

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind.

Trevor Phillips, Maximilian Stölzle, Erick Turricelli, Florian Achermann, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.

Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning.

Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain.

Philipp Oettershagen, Florian Achermann, Benjamin Müller, Daniel Schneider, Roland Siegwart

CoRR, 2017