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Machine Learning for Robotics
TUM School of Computation, Information and Technology
Technical University of Munich

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Smart Robotics Lab

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Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots (bibtex)
Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots (bibtex)
by K Zhang, P Chermprayong, D Tzoumanikas, W Li, M Grimm, M Smentoch, S Leutenegger and M Kovac
Reference:
Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots (K Zhang, P Chermprayong, D Tzoumanikas, W Li, M Grimm, M Smentoch, S Leutenegger and M Kovac), In Journal of Field Robotics, volume 36, 2019. 
Bibtex Entry:
@article{zhang2019bioinspired,
 title = {Bioinspired design of a landing system with soft shock absorbers for autonomous aerial robots},
 author = {K Zhang and P Chermprayong and D Tzoumanikas and W Li and M Grimm and M Smentoch and S Leutenegger and M Kovac},
 journal = {Journal of Field Robotics},
 volume = {36},
 number = {1},
 pages = {230--251},
 year = {2019},
 keywords = {drones},
}
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Informatik IX

Professorship for Machine Learning for Robotics

Smart Robotics Lab

Boltzmannstrasse 3
85748 Garching info@srl.cit.tum.de

Follow us on:
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