Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gregor H. W. Gebhardt"'
Autor:
Moritz Maxeiner, Mathis Hocke, Hauke J Moenck, Gregor H W Gebhardt, Nils Weimar, Lea Musiolek, Jens Krause, David Bierbach, Tim Landgraf
Collective motion is commonly modeled with static interaction rules between agents. Substantial empirical evidence indicates, however, that animals may adapt their interaction rules depending on a variety of factors and social contexts. Here, we hypo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a19159575dd0331b35ffb97c2525f25c
https://refubium.fu-berlin.de/handle/fub188/39763
https://refubium.fu-berlin.de/handle/fub188/39763
Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups
Autor:
Jens Krause, David Bierbach, Tim Landgraf, Gregor H. W. Gebhardt, Pawel Romanczuk, Lea Musiolek, Verena V. Hafner
Publikováno v:
Annual Review of Control, Robotics, and Autonomous Systems. 4:487-507
Biomimetic robots that replace living social interaction partners can help elucidate the underlying interaction rules in animal groups. Our review focuses on the use of interactive robots that respond dynamically to animal behavior as part of a close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75ccfcdada98f429267042aaa967281
https://doi.org/10.1146/annurev-control-061920-103228
https://doi.org/10.1146/annurev-control-061920-103228
Publikováno v:
Machine Learning. 108:2113-2157
Enabling robots to act in unstructured and unknown environments requires versatile state estimation techniques. While traditional state estimation methods require known models and make strong assumptions about the dynamics, such versatile techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58927aa82d75f40b71861caf0d95e18a
https://doi.org/10.1007/s10994-019-05816-z
https://doi.org/10.1007/s10994-019-05816-z
Publikováno v:
ICRA
Swarm robotics investigates how a large population of robots with simple actuation and limited sensors can collectively solve complex tasks. One particular interesting application with robot swarms is autonomous object assembly. Such tasks have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::450c8353703862063a40df619fd1f352
https://doi.org/10.1109/icra.2018.8463215
https://doi.org/10.1109/icra.2018.8463215
Autor:
Hoffmann M, Gregor H. W. Gebhardt
Publikováno v:
Archiv für Tierernaehrung. 23:273-289
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d14cd3754ac46a4ab7342eaf39ae3b9
https://doi.org/10.1080/17450397309424263
https://doi.org/10.1080/17450397309424263