Title
Perception And Human Interaction For Developmental Learning Of Objects And Affordances
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.
Year
DOI
Venue
2012
10.1109/HUMANOIDS.2012.6651528
2012 12TH IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS)
Keywords
Field
DocType
cognition,learning artificial intelligence,humanoid robots,human robot interaction
Robot learning,Social robot,iCub,Simulation,Computer science,Developmental robotics,Cognitive architecture,Affordance,Human–robot interaction,Humanoid robot
Conference
ISSN
Citations 
PageRank 
2164-0572
3
0.39
References 
Authors
0
8
Name
Order
Citations
PageRank
Serena Ivaldi116319.72
Natalia Lyubova2292.58
Damien Gerardeaux-Viret390.82
Alain Droniou4613.71
Salvatore Maria Anzalone510411.02
Mohamed Chetouani659059.47
David Filliat764647.26
Olivier Sigaud853953.35