Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Martin Rudorfer"'
The ability to grasp objects is an essential skill that enables many robotic manipulation tasks. Recent works have studied point cloud-based methods for object grasping by starting from simulated datasets and have shown promising performance in real-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929976aff3965552ee6bdfaa0df12278
http://hdl.handle.net/11583/2971104
http://hdl.handle.net/11583/2971104
Autor:
Weiwei Wan, Tetsuyou Watanabe, Joshua C. Triyonoputro, Martin Rudorfer, Christian Schlette, Tokuo Tsuji, Nikolaus Correll, Felix von Drigalski
Publikováno v:
von Drigalski, F, Schlette, C, Rudorfer, M, Correll, N, Triyonoputro, J, Wan, W, Tsuji, T & Watanabe, T 2020, ' Robots assembling machines : learning from the World Robot Summit 2018 Assembly Challenge ', Advanced Robotics, vol. 34, no. 7-8, pp. 408-421 . https://doi.org/10.1080/01691864.2019.1705910
The Industrial Assembly Challenge at the World Robot Summit was held in 2018 to showcase the state-of-the-art of autonomous manufacturing systems. The challenge included various tasks, such as bin picking, kitting, and assembly of standard industrial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1737fe15b1bbfccb2f4369c0ee9c5bd
http://arxiv.org/abs/1911.05884
http://arxiv.org/abs/1911.05884
Publikováno v:
ETFA
Deep Learning-based approaches for 3d object detection and 6d pose estimation typically require large amounts of labeled training data. Labeling image data is expensive and particularly the 6d pose information is difficult to obtain, as it requires a
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030349943
ICVS
ICVS
A recent benchmark for 3D object detection and 6D pose estimation from RGB-D images shows the dominance of methods based on Point Pair Feature Matching (PPFM). Since its invention in 2010 several modifications have been proposed to cope with its weak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8136c6024ed495a957a4f72b6daf0c61
https://doi.org/10.1007/978-3-030-34995-0_40
https://doi.org/10.1007/978-3-030-34995-0_40
Autor:
Ole Kröger, Johannes Hügle, Tayyip Özkaya, Manuel Katanacho, Jonas Wassermann, Tessa Pannen, Martin Rudorfer, Jan Guhl, Oliver Heimann, Carsten Niebuhr, Jörg Krüger
Publikováno v:
Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter ISBN: 9783662593165
In order to manage fast changing market and customer requirements, production systems need to become more and more flexible. Therefore, the World Robot Challenge fosters the development of new agile manufacturing systems and evaluates them under toug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6af82411a17af3b5616f72b042ee511
https://doi.org/10.1007/978-3-662-59317-2_5
https://doi.org/10.1007/978-3-662-59317-2_5
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1140:012014
Robotic grasping and manipulation is a highly active research field. Typical solutions are usually composed of several modules, e.g. object detection, grasp selection and motion planning. However, from an industrial point of view, it is not clear whi
Publikováno v:
Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control.
Software engineering paradigms such as service-oriented architectures are increasingly often applied in the field of factory automation. Functions like robot motion planning or object recognition are provided by cloud services. A crucial architectura
Publikováno v:
ETFA
In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architect
Autor:
Jörg Krüger, Martin Rudorfer
Contemporary production lines often make extensive use of image recognition to achieve high levels of automation. Shorter product life cycles and smaller lot sizes force companies to adapt their processes very quickly. Still, industrial image process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e44366572cbef139d175690cb9999d6f
https://publica.fraunhofer.de/handle/publica/262613
https://publica.fraunhofer.de/handle/publica/262613
Publikováno v:
WFCS
This paper describes our concept for control of robots and machine tools through a private factory cloud which is dynamically extended by additional public resources. After discussing the opportunities and drawbacks of the virtualization of robot con