Classical conditioning in social robots

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

Classical conditioning is important in humans to learn and predict events in terms of associations between stimuli and to produce responses based on these associations. Social robots that have a classical conditioning skill like humans will have an advantage to interact with people more naturally, socially and effectively. In this paper, we present a novel classical conditioning mechanism and describe its implementation in ASMO cognitive architecture. The capability of this mechanism is demonstrated in the Smokey robot companion experiment. Results show that Smokey can associate stimuli and predict events in its surroundings. ASMO’s classical conditioning mechanism can be used in social robots to adapt to the environment and to improve the robots’ performances.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • University of Technology Sydney
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Datorseende och robotik (autonoma system)
  • Människa-datorinteraktion (interaktionsdesign)

Nyckelord

Originalspråkengelska
Titel på värdpublikationSocial Robotics
Undertitel på gästpublikation6th International Conference, ICSR 2014, Proceedings
RedaktörerMichael Beetz, Michael Beetz, Mary-Anne Williams, Benjamin Johnston, Mary-Anne Williams
UtgivningsortCham
FörlagSpringer
Sidor279-289
ISBN (elektroniskt)9783319119724
StatusPublished - 2014 jan 1
PublikationskategoriForskning
Peer review utfördJa
Evenemang6th International Conference on Social Robotics, ICSR 2014 - Sydney, Australien
Varaktighet: 2014 okt 272014 okt 29

Publikationsserier

NamnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volym8755
ISSN (tryckt)0302-9743
ISSN (elektroniskt)1611-3349

Konferens

Konferens6th International Conference on Social Robotics, ICSR 2014
LandAustralien
OrtSydney
Period2014/10/272014/10/29