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pro vyhledávání: '"Mikolaj Lysakowski"'
Autor:
Mikolaj Lysakowski, Michal R. Nowicki, Russell Buchanan, Marco Camurri, Maurice Fallon, Krzysztof Walas
Haptic sensing has recently been used effectively for legged robot localization in extreme scenarios where cam-eras and LiDAR might fail, such as dusty mines and foggy sewers. However, existing haptic sensing mainly relies on supervised classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f2988468e16a5df5f96d62f434c241a
https://ora.ox.ac.uk/objects/uuid:5729c2b2-23f5-4df5-b775-e2b595bf3c65
https://ora.ox.ac.uk/objects/uuid:5729c2b2-23f5-4df5-b775-e2b595bf3c65
Publikováno v:
ECMR
The haptic terrain classification is an essential component of a mobile walking robot control system, ensuring proper gait adaptation to the changing environmental conditions. In this work, we further tackle this problem with force and torque measure