G
Georg von Wichert
Researcher at Siemens
Publications - 58
Citations - 1410
Georg von Wichert is an academic researcher from Siemens. The author has contributed to research in topics: Probabilistic logic & Robot. The author has an hindex of 12, co-authored 58 publications receiving 980 citations. Previous affiliations of Georg von Wichert include Technische Universität München & University of Freiburg.
Papers
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Journal ArticleDOI
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
TL;DR: In this paper, the authors discuss the importance of industrial manufacturing for economy and society, including the question about the future of labor and technical and technological questions that have to be taken care of as well.
Proceedings ArticleDOI
Optimal, sampling-based manipulation planning
Philipp S. Schmitt,Werner Neubauer,Wendelin Feiten,Kai M. Wurm,Georg von Wichert,Wolfram Burgard +5 more
TL;DR: This paper proposes an asymptotically optimal manipulation planner that extends optimal sampling-based roadmap planners to efficiently explore the configuration space of the robot and the object and proves probabilistic completeness and global, asymPTotic optimality.
Proceedings ArticleDOI
Modeling and Planning Manipulation in Dynamic Environments
TL;DR: A new model for sequential manipulation tasks that also considers robot dynamics and time-variant environments is proposed and automatically derive constraint-based controllers and use them as steering functions in a kinodynamic manipulation planner.
Book ChapterDOI
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Daniel Meyer-Delius,Christian Plagemann,Georg von Wichert,Wendelin Feiten,Gisbert Lawitzky,Wolfram Burgard +5 more
TL;DR: This work proposes a model for spatio-temporal situations using hidden Markov models based on relational state descriptions, which are extracted from the estimated state of an underlying dynamic system.
Posted Content
Extracting Semantic Indoor Maps from Occupancy Grids.
Ziyuan Liu,Georg von Wichert +1 more
TL;DR: In this paper, the authors propose a method to extract an abstracted floor plan from typical grid maps using Bayesian reasoning, which is well suited for higher-level reasoning and communication purposes.