Paper Info
Title
Helping Robots Imitate: Metrics And Technological Solutions Inspired By Human Behaviour
Abstract
In this paper we describe three lines of research related to the issue of helping robots imitate people. These studies are based on observed human behaviour, technical metrics and implemented technical solutions. The three lines of research are: (a) a number of user studies that show how humans naturally tend to demonstrate a task for a robot to learn, (b) a formal approach to tackle the problem of what a robot should imitate, and (c) a technology-driven conceptual framework and technique, inspired by social learning theories, that addresses how a robot can be taught. In this merging exercise we will try to propose a way through this problem space, towards the design of a Human-Robot Interaction (Hill) system able to be taught by humans via demonstration.
Year
Venue
Keywords
2009
RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2
speech,conceptual framework,human robot interaction,data mining,social learning theories,human behaviour,social learning theory,human nature
Field
DocType
Citations 
Social learning theory,Computer science,Simulation,Intelligent robots,Artificial intelligence,Merge (version control),Robot,User studies,Conceptual framework,Problem space,Human–robot interaction
Conference
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Aris Alissandrakis110613.83
Nuno Otero217119.56
Joe Saunders320423.30