Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matthias Schöpfer"'
Publikováno v:
IEEE Transactions on Robotics. 27:630-635
In this paper, we present a probabilistic spatial approach to build compact 3-D representations of unknown objects probed by tactile sensors. Our approach exploits the high frame rates provided by modern tactile sensors and utilizes Kalman filters to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0edb45b81c56dd408cfd82009c2666c7
https://doi.org/10.1109/tro.2011.2120830
https://doi.org/10.1109/tro.2011.2120830
Publikováno v:
CRV
Service robots share the living space of humans. Thus, they should have a similar concept of the environment without having everything labeled beforehand. The detection of closed doors is challenging because they appear with different materials, desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d16ebdded7f8a1be6c19d9b56e527192
https://doi.org/10.1109/crv.2014.44
https://doi.org/10.1109/crv.2014.44
Publikováno v:
PUB-Publications at Bielefeld University
The Team of Bielefeld (ToBI) has been founded in 2009. The RoboCup activities are embedded in a long-term research history towards human-robot interaction with laypersons in regular home environments. The RoboCup@Home competition is an important benc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d439e37285c9fd0d377a98d46679cbcf
https://pub.uni-bielefeld.de/record/2562205
https://pub.uni-bielefeld.de/record/2562205
Publikováno v:
ICRA
We present a database of 2D pressure profile time series as a testbed for tactile object and surface recognition. The tactile database captures the surfaces of household and toy objects by moving a 2D pressure sensor mounted to an industrial robot ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e1e5eab73af6a5deca4a4689d151e9e
https://pub.uni-bielefeld.de/record/1894919
https://pub.uni-bielefeld.de/record/1894919
Autor:
G. Heidemann, Matthias Schöpfer
Publikováno v:
ICRA
We propose a neural architecture for the recognition of objects by haptics. We demonstrate its performance for a set of household objects and toys using a low cost 2D pressure sensor of coarse resolution, which is moved by a robot arm guided by conta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05336f71148bd4972f126207c87b4f5e
https://pub.uni-bielefeld.de/record/1894908
https://pub.uni-bielefeld.de/record/1894908