Please use this identifier to cite or link to this item:
Title: CASIMIRO, the sociable robot
Authors: Déniz, O.
Castrillón, M. 
Lorenzo, J. 
Hernández, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Robótica
Issue Date: 2007
Project: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Computer Aided Systems Theory 
11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 
Abstract: Sociable robots are gaining popularity among robotics researchers and cognitive scientists. These robots generally show abilities that include expressive power (face, voice, ...), locating, paying attention to and addressing people, etc. Such abilities fall into what is known as social intelligence in humans. The reproduction of social intelligence, as opposed to other types of human abilities, may lead to fragile performance, in the sense of having rather different performances between tested cases and future (untested) cases and situations. This limitation stems from the fact that our social abilities are mainly unconscious to us. This is in contrast with other human abilities that we carry out using conscious effort, and for which we can easily conceive algorithms and representations. The fragile performance mentioned above is nothing but overfitting. Thus, we propose to approach the problem using strategies followed in Machine Learning for avoiding overfitting. Specifically, complexity penalization and incremental design are translated to the broader ambit of robot design and development. The robot CASIMIRO is currently being developed following that approach.
ISBN: 978-3-540-75866-2
ISSN: 0302-9743
DOI: 10.1007/978-3-540-75867-9_131
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
Show full item record


checked on Feb 28, 2021


checked on Feb 28, 2021

Page view(s)

checked on Feb 27, 2021

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.