Object learning with natural language in a distributed intelligent system: A case study of human-robot interaction

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Erscheinungsjahr:
2014
Medientyp:
Text
Schlagworte:
  • Robots
  • Flight simulators
  • Inattentional deafness
  • Human Engineering
  • Ergonomics
  • Automation
  • Language
  • Human-robot interaction
  • Ensemble learning
  • Robots
  • Flight simulators
  • Inattentional deafness
  • Human Engineering
  • Ergonomics
  • Automation
Beschreibung:
  • The development of humanoid robots for helping humans as well as for understanding the human cognitive system is of significant interest in science and technology. How to bridge the large gap between the needs of a natural humanrobot interaction and the capabilities of recent humanoid platforms is an important but open question. In this paper we describe a system to teach a robot, based on a dialogue in natural language about its real environment in real time. For this, we integrate a fast object recognition method for the NAO humanoid robot and a hybrid ensemble learning mechanism. With a qualitative analysis we show the effectiveness of our system. © Springer-Verlag Berlin Heidelberg 2014.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH
Interne Metadaten
Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/4140a923-7b78-47d9-8fd5-72a58ca09872