Paper Info
Title
A robot learns to know people: first contacts of a robot
Abstract
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 precollected 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.
Year
DOI
Venue
2006
10.1007/978-3-540-69912-5_23
KI
Keywords
Field
DocType
precollected data,key functionality,future encounter,data autonomously,different people,acquiring knowledge,different perceptual,humanoid robot,dialog component,individual functionality,personalized learning,robot learning,natural environment
Robot learning,Dialog box,Social robot,Facial recognition system,Computer vision,Human–computer interaction,Artificial intelligence,Engineering,Robot,Perception,Memorization,Humanoid robot
Conference
Volume
ISSN
Citations 
4314
0302-9743
6
PageRank 
References 
Authors
0.70
24
5
Name
Order
Citations
PageRank
Hartwig Holzapfel116412.24
Thomas Schaaf236444.96
Hazim Kemal Ekenel337744.16
Christoph Schaa460.70
Alex Waibel563431980.68