Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Christian Emmerich"'
Autor:
Elena Francesca Gambaro, Christian Emmerich, Máximo Alejandro Roa-Garzón, Korbinian Muenster, Felix Endres, Michael Suppa, Raphael Schaller, Felix Ruess, Monika Florek-Jasinska
Publikováno v:
KI - Künstliche Intelligenz. 33:171-180
This paper presents a robotic demonstrator for manipulation and distribution of objects. The demonstrator relies on robust 3D vision-based solutions for navigation, object detection and detection of graspable surfaces using the rc_visard, a self-regi
Autor:
Agnes Swadzba, Sebastian Wrede, Christian Emmerich, Ricarda Grünberg, Arne Nordmann, Jochen J. Steil
Publikováno v:
Journal of Human-Robot Interaction. 2:56-81
The recent advent of compliant and kinematically redundant robots poses new research challenges for human-robot interaction. While these robots provide a great degree of flexibility for the realization of complex applications, the flexibility gained
Autor:
Agnes Swadzba, Sebastian Wrede, Arne Nordmann, Christian Emmerich, Ricarda Grünberg, Jochen J. Steil
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319038377
Springer Tracts in Advanced Robotics ISBN: 9783319029337
Springer Tracts in Advanced Robotics ISBN: 9783319029337
The presented work approaches programming of redundant robots such as the KUKA Lightweight Robot IV in a co-worker scenario from a user-centered point of view. It specifically asks, how the user’s implicit knowledge about the scene and the task can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::221b46af1cad67b6437de6c125bd6417
https://doi.org/10.1007/978-3-319-03838-4_6
https://doi.org/10.1007/978-3-319-03838-4_6
Publikováno v:
PUB-Publications at Bielefeld University
BASE-Bielefeld Academic Search Engine
ICRA
BASE-Bielefeld Academic Search Engine
ICRA
Facilitating efficient reconfiguration of advanced robot systems to new tasks or environments is an ongoing research challenge. While imitation learning methods as well as modeling and simulation tools are continuously improving to reduce the inheren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077844aee0fdad6604709ee34cb73b5a
https://pub.uni-bielefeld.de/record/2549946
https://pub.uni-bielefeld.de/record/2549946
We present an input-driven dynamical system approach to continuous association. Previous formulations of associative reservoir computing networks and associative extreme learning machines are unified and generalized to multiple modalities. Associatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d51b6b7f085cb9d1751ea61ecf1ec007
https://doi.org/10.1016/j.neucom.2012.11.043
https://doi.org/10.1016/j.neucom.2012.11.043
Publikováno v:
Artificial Neural Networks – ICANN 2010 ISBN: 9783642158216
ICANN (2)
ICANN (2)
We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attractor-based reservoir networks for processing of static patterns and compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d60dd7c4c6b8909077d668385d8fe1e4
https://doi.org/10.1007/978-3-642-15822-3_19
https://doi.org/10.1007/978-3-642-15822-3_19
Autor:
Christian Meltzer
Publikováno v:
Národní knihovna České republiky.
Autor:
Georg Heinrich Götze
Publikováno v:
Národní knihovna České republiky.
Autor:
Lüder Mencke
Publikováno v:
Národní knihovna České republiky.