Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Walter Wohlkinger"'
Autor:
Sven Olufs, Peter Einramhof, David Fischinger, Walter Wohlkinger, Markus Vincze, Aitor Aldoma, Ekaterina Potapova, Michael Zillich, Kai Zhou
Publikováno v:
e & i Elektrotechnik und Informationstechnik. 129:42-52
Eine Hauptaufgabe fur Roboter ist es, Objekte und Objektklassen zu erkennen, um diese zu finden und handzuhaben. Bild-basierte Ansatze lernen aus grosen Datenbanken, haben aber keinen Zugriff auf Kontextwissen zur Verfugung, zum Beispiel, wie Roboter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ffdea8a43f7877e4771eaee4f58310
https://doi.org/10.1007/s00502-012-0072-6
https://doi.org/10.1007/s00502-012-0072-6
Publikováno v:
Machine Vision and Applications. 21:825-840
This work presents a fast and robust method to precisely segment and locate boreholes of 4–50 mm diameter. The task is solved by scanning over the expected borehole location given by CAD data. Since the diameter of the borehole is known, this can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7434f5a888b29f68674b97b8646bd1e1
https://doi.org/10.1007/s00138-009-0204-0
https://doi.org/10.1007/s00138-009-0204-0
Publikováno v:
Machine Vision and Applications. 21:497-516
Fast detection of objects in a home or office environment is relevant for robotic service and assistance applications. In this work we present the automatic localization of a wide variety of differently shaped objects scanned with a laser range senso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be342b2ebf2f43565c45e3ba9010cb46
https://doi.org/10.1007/s00138-008-0178-3
https://doi.org/10.1007/s00138-008-0178-3
Autor:
Danica Kragic, Marianna Madry, Markus Przybylski, Kai Welke, Dan Song, Tamim Asfour, Martin Do, Beatriz León, Markus Vincze, Walter Wohlkinger, Jeannette Bohg, Aitor Aldoma, Antonio Morales, Higinio Marti
Publikováno v:
SyRoCo
In this paper, we present an approach towards autonomous grasping of objects according to their category and a given task. Recent advances in the field of object segmentation and categorization as well as task-based grasp inference have been leverage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53aa365b25feab9f9348bda721d99598
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-111527
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-111527
Autor:
Walter Wohlkinger, Markus Vincze
Publikováno v:
ROBIO
This work addresses the problem of real-time 3D shape based object class recognition, its scaling to many categories and the reliable perception of categories. A novel shape descriptor for partial point clouds based on shape functions is presented, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e979e176abf55002cfdc8739de6bea
https://doi.org/10.1109/robio.2011.6181760
https://doi.org/10.1109/robio.2011.6181760
Autor:
Markus Vincze, Walter Wohlkinger
Publikováno v:
ICSIPA
In this work we address the problem of 3D shape based object class recognition directly from point cloud data obtained from RGB-D cameras like the Kinect sensor from Microsoft. A novel shape descriptor is presented, capable of classifying 'never befo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2dd85a7d2dc3ec4139ef4e4aaaac110
https://doi.org/10.1109/icsipa.2011.6144153
https://doi.org/10.1109/icsipa.2011.6144153
Autor:
Markus Vincze, Walter Wohlkinger
Publikováno v:
IROS
Object recognition and especially object class recognition is and will be a key capability in home robotics when robots have to tackle manipulation tasks and grasp new objects or just have to search for objects. The goal is to have a robot classify '
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ad657acd134fae869fd088d8855ea23
https://doi.org/10.1109/iros.2011.6094808
https://doi.org/10.1109/iros.2011.6094808
Autor:
Walter Wohlkinger, Markus Vincze
Publikováno v:
19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010).
Building knowledge for robots can be tedious, especially if focused on object class recognition in home environments where hundreds of everyday-objects - some with a huge intra class variability - can be found. Object recognition and especially objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89566c5930d20e1f5376158477e5a907
https://doi.org/10.1109/raad.2010.5524578
https://doi.org/10.1109/raad.2010.5524578
Autor:
James J. Little, James Orwell, Matthew Baumann, Marius Muja, Tomas Hoffman, Scott Helmer, David Meger, Pooja Viswanathan, Ankur Gupta, Catherine Gamroth, Walter Wohlkinger, Tristram Southey, Pooyan Fazli, David G. Lowe
Publikováno v:
CRV
This paper describes an integrated robot system, known as Curious George, that has demonstrated state-of-the-art capabilities to recognize objects in the real world. We describe the capabilities of this system, including: the ability to access web-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030c472295a22d84435524140bee9cd6
https://doi.org/10.1109/crv.2010.21
https://doi.org/10.1109/crv.2010.21
Publikováno v:
2007 European Control Conference (ECC).
Today, automobile and aeronautics industry uses more and more robust and light-weight parts made of carbon fibres. To achieve high structural properties the carbon fibre mats are stitched in the preforming process using a sewing robot. Current system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfbbd7ce052450f2c26a2a8a4e71a862
https://doi.org/10.23919/ecc.2007.7068334
https://doi.org/10.23919/ecc.2007.7068334