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pro vyhledávání: '"von Wichert, Georg"'
In this paper we propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning. The result of this procedure is a probabilistic generative model of the environment defined over abstract concepts. It is well suit
Externí odkaz:
http://arxiv.org/abs/2002.10939
Autor:
Liu, Ziyuan, von Wichert, Georg
In this paper, we propose a generalizable method that systematically combines data driven MCMC samplingand inference using rule-based context knowledge for data abstraction. In particular, we demonstrate the usefulness of our method in the scenario o
Externí odkaz:
http://arxiv.org/abs/2002.10938
In this paper, we propose a probabilistic method to generate abstract scene graphs for table-top scenes from 6D object pose estimates. We explicitly make use of task-specfic context knowledge by encoding this knowledge as descriptive rules in Markov
Externí odkaz:
http://arxiv.org/abs/2002.08417
Autor:
Liu, Ziyuan, von Wichert, Georg
In this paper, we propose a generalizable knowledge framework for data abstraction, i.e. finding compact abstract model for input data using predefined abstract terms. Based on these abstract terms, intelligent autonomous systems, such as a robot, sh
Externí odkaz:
http://arxiv.org/abs/2002.08402
Autor:
Liu, Ziyuan, von Wichert, Georg
The primary challenge for any autonomous system operating in realistic, rather unconstrained scenarios is to manage the complexity and uncertainty of the real world. While it is unclear how exactly humans and other higher animals master these problem
Externí odkaz:
http://arxiv.org/abs/2002.08348
Publikováno v:
In IFAC PapersOnLine 2015 48(3):567-572
Autor:
Liu, Ziyuan, von Wichert, Georg
Publikováno v:
In Future Generation Computer Systems July 2014 36:42-56
Autor:
Liu, Ziyuan, von Wichert, Georg
Publikováno v:
In Robotics and Autonomous Systems May 2014 62(5):663-674
Autor:
Hirsch-Kreinsen, Prof. Dr., Hartmut, Kubach, Uwe, Stark, Rainer, von Wichert, Georg, Litsche, Simon, Sedlmeir, Joachim, Steglich, Steffen
Der Forschungsbeirat identifiziert aktuell vier Themenfelder, in die sich zukünftige Forschungs- und Entwicklungsbedarfe einteilen lassen und die für eine erfolgreiche Gestaltung von Industrie 4.0 und des deutschen Innovationssystems entscheidend s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::283307ac5b9c514cfe77809a372ecaa4
Akademický článek
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