Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Florian Achermann"'
Autor:
Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart, Nicholas Lawrance
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Real-time high-resolution wind predictions are beneficial for various applications including safe crewed and uncrewed aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid
Externí odkaz:
https://doaj.org/article/15681a793aa945f68745aa09fa4d9a5b
Autor:
Alexander Kubler, Robert K. Katzschmann, Oda Vigen, Pascal Auf der Maur, Michael Lustenberger, Roland Siegwart, Elias Hampp, Patricia Hormann, Betim Djambazi, Julian Förster, Yves Haberthur, Florian Achermann, Samuel Sigrist
Publikováno v:
RoboSoft
RoBoa is a vine-like search and rescue robot that can explore narrow and cluttered environments such as destroyed buildings. The robot assists rescue teams in finding and communicating with trapped people. It employs the principle of vine robots for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::023b31588876801f9c78f85df9edfef9
http://arxiv.org/abs/2203.15145
http://arxiv.org/abs/2203.15145
Autor:
Maximilian Stolzle, Erick Turricelli, Roland Siegwart, Florian Achermann, Jen Jen Chung, Trevor Phillips, Nicholas R. J. Lawrance
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
ICRA
For asymptotically optimal sampling-based path planners such as RRT*, path quality improves as the number of samples added to the motion tree increases. However, each additional sample requires a nearest-neighbor search. Calculating state transition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1b2a1afb0ab9511a2c114ae7e7f2dd
https://hdl.handle.net/20.500.11850/515766
https://hdl.handle.net/20.500.11850/515766
Autor:
Florian Achermann, Alexey Dosovitskiy, Nicholas R. J. Lawrance, Rene Ranftl, Jen Jen Chung, Roland Siegwart
Publikováno v:
ICRA
Obtaining an accurate estimate of the local wind remains a significant challenge for small unmanned aerial vehicles (UAVs). Small UAVs often operate at low altitudes near terrain, where the wind environment can be more complex than at higher altitude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::821f5221cc48c7993b1a3616f7b58646
https://doi.org/10.1109/icra.2019.8793547
https://doi.org/10.1109/icra.2019.8793547