Towards the evolution of indirect communication for social robots

Boris Mocialov, Patricia A Vargas, Micael S. Couceiro

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

Abstract

This paper presents preliminary investigations on the evolution of indirect communication between two agents. In the future, behaviours of robots in the RoboCup1 competition should resemble the behaviours of the human players. One common trait of this behaviour is the indirect communication. Within the human-robot-interaction, indirect communication can either be the principal or supporting method for information exchange. This paper summarises previous work on the topic and presents the design of a self-organised system for gesture recognition. Although, preliminary results show that the proposed system requires further feature extraction improvements and evaluations on various public datasets, the system is capable of performing classification of gestures. Further research is required to fully investigate potential extensions to the system that would be able to support real indirect communication in human-robot interaction scenarios.
Original languageEnglish
Title of host publication2016 IEEE Symposium Series on Computational Intelligence (SSCI)
PublisherIEEE
Number of pages8
ISBN (Electronic)9781509042401
DOIs
Publication statusPublished - 13 Feb 2017
Event2016 IEEE Symposium Series on Computational Intelligence - Athens, Greece
Duration: 6 Dec 20169 Dec 2016

Conference

Conference2016 IEEE Symposium Series on Computational Intelligence
Abbreviated titleSSCI 2016
CountryGreece
CityAthens
Period6/12/169/12/16

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