Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Birk Andreas"'
Autor:
Birk, Andreas
We introduce SmileyNet, a novel neural network with psychic abilities. It is inspired by the fact that a positive mood can lead to improved cognitive capabilities including classification tasks. The network is hence presented in a first phase with sm
Externí odkaz:
http://arxiv.org/abs/2407.21385
Autor:
Rathnam Ravi Kulan, Birk Andreas
Publikováno v:
Paladyn, Vol 4, Iss 4, Pp 223-232 (2013)
An algorithm for distributed exploration in 3D is presented which always keeps the robots within communication range of each other. The method is based on a greedy optimization strategy that uses a heuristic utility function. This makes it computatio
Externí odkaz:
https://doaj.org/article/798a5292e73440c79c3573cd20057326
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Thosar, Madhura, Mueller, Christian A., Jaeger, Georg, Schleiss, Johannes, Pulugu, Narender, Chennaboina, Ravi Mallikarjun, Jeevangekar, Sai Vivek, Birk, Andreas, Pfingsthorn, Max, Zug, Sebastian
Tool-use applications in robotics require conceptual knowledge about objects for informed decision making and object interactions. State-of-the-art methods employ hand-crafted symbolic knowledge which is defined from a human perspective and grounded
Externí odkaz:
http://arxiv.org/abs/1906.11114
Underwater robot interventions require a high level of safety and reliability. A major challenge to address is a robust and accurate acquisition of localization estimates, as it is a prerequisite to enable more complex tasks, e.g. floating manipulati
Externí odkaz:
http://arxiv.org/abs/1906.04888
Autor:
Mueller, Christian A., Birk, Andreas
An unsupervised shape analysis is proposed to learn concepts reflecting shape commonalities. Our approach is two-fold: i) a spatial topology analysis of point cloud segment constellations within objects is used in which constellations are decomposed
Externí odkaz:
http://arxiv.org/abs/1811.08165
Spectral methods such as the improved Fourier Mellin Invariant (iFMI) transform have proved faster, more robust and accurate than feature based methods on image registration. However, iFMI is restricted to work only when the camera moves in 2D space
Externí odkaz:
http://arxiv.org/abs/1811.05306
Autor:
Chavez, Arturo Gomez, Mueller, Christian A., Doernbach, Tobias, Chiarella, Davide, Birk, Andreas
Publikováno v:
Journal of Marine Science and Engineering. Vol. 7 (2019)
We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in case of emergency. A gesture communication language (CADDIAN) is develo
Externí odkaz:
http://arxiv.org/abs/1810.07122
Robots require knowledge about objects in order to efficiently perform various household tasks involving objects. The existing knowledge bases for robots acquire symbolic knowledge about objects from manually-coded external common sense knowledge bas
Externí odkaz:
http://arxiv.org/abs/1810.03583
Autor:
Chavez, Arturo Gomez, Ranieri, Andrea, Chiarella, Davide, Zereik, Enrica, Babić, Anja, Birk, Andreas
In this article we present a novel underwater dataset collected from several field trials within the EU FP7 project "Cognitive autonomous diving buddy (CADDY)", where an Autonomous Underwater Vehicle (AUV) was used to interact with divers and monitor
Externí odkaz:
http://arxiv.org/abs/1807.04856