Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Deigmoeller, Joerg"'
Autor:
Tanneberg, Daniel, Ocker, Felix, Hasler, Stephan, Deigmoeller, Joerg, Belardinelli, Anna, Wang, Chao, Wersing, Heiko, Sendhoff, Bernhard, Gienger, Michael
How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understand
Externí odkaz:
http://arxiv.org/abs/2403.12533
Autor:
Wang, Chao, Hasler, Stephan, Tanneberg, Daniel, Ocker, Felix, Joublin, Frank, Ceravola, Antonello, Deigmoeller, Joerg, Gienger, Michael
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex designs for intent estimation, reasoning, and behavior generation, wh
Externí odkaz:
http://arxiv.org/abs/2401.15174
Service robots need common-sense knowledge to help humans in everyday situations as it enables them to understand the context of their actions. However, approaches that use ontologies face a challenge because common-sense knowledge is often implicit,
Externí odkaz:
http://arxiv.org/abs/2311.08412
Autor:
Joublin, Frank, Ceravola, Antonello, Smirnov, Pavel, Ocker, Felix, Deigmoeller, Joerg, Belardinelli, Anna, Wang, Chao, Hasler, Stephan, Tanneberg, Daniel, Gienger, Michael
In the pursuit of fully autonomous robotic systems capable of taking over tasks traditionally performed by humans, the complexity of open-world environments poses a considerable challenge. Addressing this imperative, this study contributes to the fie
Externí odkaz:
http://arxiv.org/abs/2310.07263
Autor:
Joublin, Frank, Ceravola, Antonello, Deigmoeller, Joerg, Gienger, Michael, Franzius, Mathias, Eggert, Julian
Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their development. These mo
Externí odkaz:
http://arxiv.org/abs/2305.06087
Autor:
Wang, Chao, Deigmoeller, Joerg
As knowledge graph has the potential to bridge the gap between commonsense knowledge and reasoning over actionable capabilities of mobile robotic platforms, incorporating knowledge graph into robotic system attracted increasing attention in recent ye
Externí odkaz:
http://arxiv.org/abs/2210.08246
Autor:
Wang, Chao, Hasler, Stephan, Muehlig, Manuel, Joublin, Frank, Ceravola, Antonello, Deigmoeller, Joerg, Fischer, Lydia
Future intelligent system will involve very various types of artificial agents, such as mobile robots, smart home infrastructure or personal devices, which share data and collaborate with each other to execute certain tasks.Designing an efficient hum
Externí odkaz:
http://arxiv.org/abs/2002.06417
Autor:
Deigmoeller, Joerg
Nowadays, there exist a huge number of end devices with different screen properties for watching television content, which is either broadcasted or transmitted over the internet. To allow best viewing conditions on each of these devices, different im
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.529044
Autor:
Deigmoeller, Joerg, Stoll, Gerhard, Neuschmied, Helmut, Kriechbaum, Andreas, Dos Santos Cardoso, José Bernardo, Oliveira de Carvalho, Fausto José, Salgado de Alem, Roger, Huet, Benoit, Mérialdo, Bernard, Trichet, Rémi
Publikováno v:
European Patent N° WO2009115101 (A1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::eb45c493729fcd5a2b6eaa55cbb41a74
http://www.eurecom.fr/publication/3298
http://www.eurecom.fr/publication/3298
Autor:
Deigmoeller, Joerg, Eggert, Julian
Publikováno v:
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings; 2016, p166-175, 10p
