Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Berthold Bauml"'
Autor:
Jorn Vogel, Ulrich Hillenbrand, Adrian Simon Bauer, Berthold Bauml, Gabriel Quere, Alexander Dietrich, Peter Schmaus, Annette Hagengruber, Maximilian Denninger, Marco Sewtz, Alin Albu-Schaffer, Thomas Hulin, Maged Iskandar, Lioba Suchenwirth, Daniel Leidner, Michael Panzirsch
Publikováno v:
IEEE Robotics & Automation Magazine. 28:12-28
Demographic change and its various implications will offer some of the biggest challenges faced by society and our health-care systems in the coming decades. While the number of people in need of caregiving is steadily growing in most industrial nati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b196cef21cacb4795b38b773b5c3269
https://doi.org/10.1109/mra.2020.3032142
https://doi.org/10.1109/mra.2020.3032142
Publikováno v:
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5cb05ad1e83b2b2394608d3342966b7
https://doi.org/10.1109/humanoids53995.2022.10000184
https://doi.org/10.1109/humanoids53995.2022.10000184
Autor:
Andreea Tulbure, Berthold Bauml
Publikováno v:
Humanoids
In this paper, we show that a robot equipped with a flexible and commercially available tactile skin can exceed human performance in the challenging tasks of material classification, i.e., uniquely identifying a given material by touch alone, and of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0316401f7cceb748c26dda3934d98633
https://doi.org/10.1109/humanoids.2018.8624987
https://doi.org/10.1109/humanoids.2018.8624987
Autor:
Florian Schmidt, Oliver Eiberger, Alexander Beyer, Alexander Dietrich, Robert Burger, Maximo A. Roa, Daniel Leidner, Berthold Bauml, Christian Ott, Werner Friedl, Bernd Henze, Johannes Englsberger, Alin Albu-Schaffer, Christoph W. Borst, Alexander Werner
Publikováno v:
Humanoid Robotics: A Reference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6052e50b06adad5221cc27314b2ca3d2
https://doi.org/10.1007/978-94-007-6046-2_132
https://doi.org/10.1007/978-94-007-6046-2_132
Autor:
Alexander Dietrich, Robert Burger, Oliver Eiberger, Johannes Englsberger, Alin Albu-Schaffer, Berthold Bauml, Máximo Alejandro Roa Garzon, Werner Friedl, Florian Schmidt, Bernd Henze, Daniel Leidner, Christoph W. Borst, Alexander Werner, Christian Ott, Alexander Beyer
Publikováno v:
Humanoid Robotics: A Reference ISBN: 9789400771949
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2855cdacbda96d4527a5d8032f2ffcd3
https://elib.dlr.de/117861/
https://elib.dlr.de/117861/
Publikováno v:
The International Journal of Robotics Research. 34:420-436
This paper addresses the problem of calibrating a pair of cameras, a Microsoft Kinect sensor and an inertial measurement unit (IMU) mounted at the head of a humanoid robot with respect to its kinematic chain. As complex manipulation tasks require an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8b83aedae228c1a5b3531111591490
https://doi.org/10.1177/0278364914548201
https://doi.org/10.1177/0278364914548201
Publikováno v:
Humanoids
In this paper, we present a novel method of incorporating dense (e.g., depth, RGB-D) data in a general purpose least-squares graph optimization framework. Rather than employing a loosely coupled, layered design where dense data is first used to estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a10ae923250ee771feaf88ecf3dc317
https://doi.org/10.1109/humanoids.2016.7803393
https://doi.org/10.1109/humanoids.2016.7803393
Autor:
Shiv S. Baishya, Berthold Bauml
Publikováno v:
IROS
Attaching a flexible tactile skin to an existing robotic system is relatively easy compared to integrating most other tactile sensor designs. In this paper we show that material classification purely based on the spatio-temporal signal of a flexible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b94f5f3ded23c2c6512ea2c2157d43e
https://doi.org/10.1109/iros.2016.7758088
https://doi.org/10.1109/iros.2016.7758088
Autor:
Gerd Hirzinger, Berthold Bauml
Publikováno v:
Robotics and Autonomous Systems. 56:5-13
A still growing number of software concepts and frameworks have been proposed to meet the challenges in the development of more and more complex robotic systems, like humanoids or networked robotics. The issue of hard realtime, however, has not been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830bee9a8c668f6793bcfaaad81888d7
https://doi.org/10.1016/j.robot.2007.09.017
https://doi.org/10.1016/j.robot.2007.09.017
Publikováno v:
IROS
For such common tasks as motion planning or object recognition robots need to perceive their environment and create a dense 3D map of it. A recent breakthrough in this area was the KinectFusion algorithm [16], which relies on step by step matching a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e60f709d6bd9e812b5f96c8374c2932
https://elib.dlr.de/93378/
https://elib.dlr.de/93378/