Perception and human interaction for developmental learning of objects and affordances

  • Serena Ivaldi
  • , Natalia Lyubova
  • , Damien Gerardeaux-Viret
  • , Alain Droniou
  • , Salvatore M. Anzalone
  • , Mohamed Chetouani
  • , David Filliat
  • , Olivier Sigaud

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

Abstract

In this paper we describe a cognitive architecture for humanoids interacting with objects and caregivers in a developmental robotics scenario. The architecture is foundational to the MACSi project: it is designed to support experiments to make a humanoid robot gradually enlarge its repertoire of known objects and skills combining autonomous learning, social guidance and intrinsic motivation. This complex learning process requires the capability to learn affordances first. Here, we present the general framework for achieving these goals, focusing on the elementary action, perception and interaction modules. Preliminary experiments performed on the humanoid robot iCub are also discussed.

Original languageEnglish
Title of host publication2012 12th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2012
Pages248-254
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 12th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2012 - Osaka, Japan
Duration: 29 Nov 20121 Dec 2012

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference2012 12th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2012
Country/TerritoryJapan
CityOsaka
Period29/11/121/12/12

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