A robot learns to know people-first contacts of a robot

Hartwig Holzapfel*, Thomas Schaaf, Hazim Kemal Ekenel, Christoph Schaa, Alex Waibel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)


Acquiring knowledge about persons is a key functionality for humanoid robots. In a natural environment, the robot not only interacts with different people who he recognizes and who he knows. He will also have to interact with unknown persons, and by acquiring information about them, the robot can memorize these persons and provide extended personalized services. Today, researchers build systems to recognize a person's face, voice and other features. Most of them depend on pre-collected data. We think that with the given technology it is about time to build a system that collects data autonomously and thus gets to know and learns to recognize persons completely on its own. This paper describes the integration of different perceptual and dialog components and their individual functionality to build a robot that can contact persons, learns their names, and learns to recognize them in future encounters.

Original languageEnglish
Title of host publicationKI 2006
Subtitle of host publicationAdvances in Artificial Intelligence - 29th Annual German Conference on AI, KI 2006, Proceedings
PublisherSpringer Verlag
Number of pages15
ISBN (Print)3540699112, 9783540699118
Publication statusPublished - 2007
Externally publishedYes
Event29th Annual German Conference on Artificial Intelligence (KI 2006) - Bremen, Germany
Duration: 14 Jun 200617 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4314 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference29th Annual German Conference on Artificial Intelligence (KI 2006)


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