Preliminary implementation of context-aware attention system for humanoid robots

Abolfazl Zaraki, Daniele Mazzei, Nicole Lazzeri, Michael Pieroni, Danilo De Rossi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A context-aware attention system is fundamental for regulating the robot behaviour in a social interaction since it enables social robots to actively select the right environmental stimuli at the right time during a multiparty social interaction. This contribution presents a modular context-aware attention system which drives the robot gaze. It is composed by two modules: the scene analyzer module manages incoming data flow and provides a human-like understanding of the information coming from the surrounding environment; the attention module allows the robot to select the most important target in the perceived scene on the base of a computational model. After describing the motivation, we report the proposed system and the preliminary test.

Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems - Second International Conference, Living Machines 2013, Proceedings
PublisherSpringer Nature Link
Pages457-459
Number of pages3
ISBN (Print)9783642398018
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Biomimetic and Biohybrid Systems: Living Machines, LM 2013 - London, United Kingdom
Duration: 29 Jul 20132 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8064 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Biomimetic and Biohybrid Systems: Living Machines, LM 2013
Country/TerritoryUnited Kingdom
CityLondon
Period29/07/132/08/13

Keywords

  • Context-aware attention
  • gaze control
  • multiparty social interaction
  • scene analysis

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