J
Jürg Markus Germann
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 9
Citations - 265
Jürg Markus Germann is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Soft robotics & Self-reconfiguring modular robot. The author has an hindex of 6, co-authored 9 publications receiving 208 citations. Previous affiliations of Jürg Markus Germann include ETH Zurich & École Normale Supérieure.
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Journal ArticleDOI
A perching mechanism for micro aerial vehicles
TL;DR: A 4.6 g perching mechanism that allows MAVs to perch on walls of natural and man-made materials such as trees and painted concrete facades of buildings and damps the impact forces that act on the platform to avoid damage of the MAV.
Journal ArticleDOI
Field performance of sterile male mosquitoes released from an uncrewed aerial vehicle
Jérémy Bouyer,Nicole J. Culbert,Nicole J. Culbert,Ahmadou Hamady Dicko,M. Gomez Pacheco,Jair F. Virginio,Michelle Cristine Pedrosa,Luiza Garziera,A.T. Macedo Pinto,Adam Klaptocz,Jürg Markus Germann,Thomas Wallner,Gustavo Salvador-Herranz,R. Argiles Herrero,Hanano Yamada,Fabrizio Balestrino,Marc J. B. Vreysen +16 more
TL;DR: An automatic adult mosquito release device operated from a drone released sterile males without reducing their quality, leading to a homogeneous sterile-to-wild male ratio due to their aggregation in the same sites.
Proceedings ArticleDOI
Stretchable Electroadhesion for Soft Robots
TL;DR: The results imply that stretchable electroadhesive pads have higher adaptivity than non-stretchable pads because their mechanical stiffness and adhesive forces can be controlled through stretching.
Journal ArticleDOI
Active Connection Mechanism for Soft Modular Robots
TL;DR: A soft active connection mechanism based on electroadhesion that uses electrostatic forces to connect modules is proposed and is suitable as a connection principle for lightweight modules when efficiency over a wide range of softness, tolerance to alignment and easy detachment are desired.
Proceedings ArticleDOI
An automatic parameter extraction method for the 7×50m Stroke Efficiency Test
TL;DR: An automatic method to extract the parameters of the 7 times 50 m Stroke Efficiency Test for swimming based on a wrist worn acceleration sensor device that clearly outperforms the manual measurement for the time per stroke extraction.