Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Jäger, Georg"'
Autor:
Zug, Sebastian, Jäger, Georg, Seyffer, Norman, Plank, Martin, Licht, Gero, Siebert, Felix Wilhelm
This study identifies a gap in data-driven approaches to robot-centric pedestrian interactions and proposes a corresponding pipeline. The pipeline utilizes unsupervised learning techniques to identify patterns in interaction data of urban environment
Externí odkaz:
http://arxiv.org/abs/2405.12098
Publikováno v:
In Heliyon 30 November 2024 10(22)
Autor:
Jäger, Georg, Reisinger, Daniel
Agent-based modelling is a powerful tool when simulating human systems, yet when human behaviour cannot be described by simple rules or maximising one's own profit, we quickly reach the limits of this methodology. Machine learning has the potential t
Externí odkaz:
http://arxiv.org/abs/2107.04267
Autor:
Steininger, Karl W., Posch, Alfred, Thaller, Annina, Romirer, Christoph, Maier, Raphaela, Fleiß, Eva, Jäger, Georg, Nabernegg, Stefan, Plakolb, Simon, Heinfellner, Holger, Thaller, Oswald, Schulev-Steindl, Eva
Publikováno v:
In Transportation Research Part D March 2024 128
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
Akademický článek
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Autor:
Jäger, Georg
Prognostiziert durch Konzepte der Industrie 4.0 und den Cyber-Physischen-Systemen, können autonome Systeme zukünftig dynamisch auf Datenquellen in ihrer Umgebung zugreifen. Während die gemeinsame Nutzung solcher Datenquellen ein enormes Performanz
Externí odkaz:
https://tubaf.qucosa.de/id/qucosa%3A80305
https://tubaf.qucosa.de/api/qucosa%3A80305/attachment/ATT-0/
https://tubaf.qucosa.de/api/qucosa%3A80305/attachment/ATT-0/
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