Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Stefan Stiene"'
Autor:
Martin Schröer, Johannes Teiwes, Malte Wirkus, Vinzenz Bargsten, Timo Bänziger, Elsa Andrea Kirchner, José de Gea Fernández, Frank Kirchner, Mathias Trampler, Tobias Knobloch, Dennis Mronga, Martin Günther, Thomas Krüger, Stefan Stiene
This paper describes the development of a dual-arm robotic system for industrial human–robot collaboration. The robot demonstrator described here possesses multiple sensor modalities for the monitoring of the shared human–robot workspace and is e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c66684e07f68f75a5fe21c277dcd410
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85020303032
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85020303032
Autor:
Martin Schröer, Timo Bänziger, Martin Günther, Dennis Mronga, Johannes Teiwes, Stefan Stiene, Frank Kirchner, José de Gea Fernández, Thomas Krüger, Malte Wirkus, Elsa Andrea Kirchner, Vinzenz Bargsten
This report describes an intelligent and intuitive dual-arm robotic system for industrial human–robot collaboration which provides the basis for further work between DFKI (Robotics Innovation Center) and Volkswagen Group (Smart Production Lab) in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf426c460df8ba93142d8c01b34992ff
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85045267606
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85045267606
Publikováno v:
KI - Künstliche Intelligenz. 27:341-346
The marion project aims at automatizing the working processes in the intralogistics and agriculture through process and motion planning of mobile cooperative machines. This paper focuses on the agricultural scenario of wheat harvest. The harvesting p
Autor:
Kai Lingemann, Andreas Nüchter, Joachim Hertzberg, Thomas Wiemann, Stefan Stiene, Christopher Lörken
Publikováno v:
KI - Künstliche Intelligenz. 24:245-248
Seit Herbst 2004 existiert die Arbeitsgruppe „Wissensbasierte Systeme“ am Institut fur Informatik der Universitat Osnabruck. Ein Langfristziel der Arbeitsgruppe besteht darin, Schlussfolgerungs- und Planungsverfahren der KI fur den Einsatz online
Autor:
Joachim Hertzberg, Kai Lingemann, Andreas Nüchter, Thomas Wiemann, Stefan Stiene, Jan Wülfing
Publikováno v:
Scopus-Elsevier
This paper reports a method and results for solving the following problem: Given a 3D polygonal indoor map and a mobile robot equipped with a 3D time of flight (ToF) camera, localize at frame rate the 6D robot pose with respect to the map. To solve t
Publikováno v:
Informatik aktuell ISBN: 9783642322167
AMS
AMS
In this paper we describe an approach for validating and adapting a reference trajectory of an autonomous vehicle. It is assumed that the generation of the reference trajectory guarantees the approximation to be collision free if it stays within a to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53d52a8ec57ed5a2cdd406c2592c3498
https://doi.org/10.1007/978-3-642-32217-4_12
https://doi.org/10.1007/978-3-642-32217-4_12
Autor:
Joachim Hertzberg, Stephan Scheuren, Kai Lingemann, Thomas Wiemann, Thomas Schüler, Florian Otte, Sven Albrecht, Stefan Stiene, Jochen Sprickerhof, Martin Günther
Publikováno v:
ARSO
Publikováno v:
2010 IEEE Safety Security and Rescue Robotics.
This paper presents a novel approach to create polygonal maps from 3D point cloud data. The gained map is augmented with an interpretation of the scene. Our procedure produces accurate maps of indoor environments fast and reliably. These maps are suc
Der vorliegende Projektbericht gibt einen Uberblick uber das Verbundprojekt „LiSA – Assistenzroboter in Laboren von Life-Science-Unternehmen“, das zwischen April 2006 und Juli 2009 im Rahmen der „Leitinnovation Servicerobotik“ vom Bundesmin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a630e5dca6fd183e421a03200f7977dd
https://publica.fraunhofer.de/handle/publica/224070
https://publica.fraunhofer.de/handle/publica/224070