Towards the evolution of indirect communication for social robots

Boris Mocialov; Patricia A Vargas; Micael S. Couceiro

doi:10.1109/SSCI.2016.7850183

Towards the evolution of indirect communication for social robots

Boris Mocialov, Patricia A Vargas, Micael S. Couceiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	9781509042401
DOIs	https://doi.org/10.1109/SSCI.2016.7850183
Publication status	Published - 13 Feb 2017
Event	2016 IEEE Symposium Series on Computational Intelligence - Athens, Greece Duration: 6 Dec 2016 → 9 Dec 2016

Conference

Conference	2016 IEEE Symposium Series on Computational Intelligence
Abbreviated title	SSCI 2016
Country/Territory	Greece
City	Athens
Period	6/12/16 → 9/12/16

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10.1109/SSCI.2016.7850183

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@inproceedings{3ead573f9fcd48d5ae06b514c728af6c,

title = "Towards the evolution of indirect communication for social robots",

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.",

author = "Boris Mocialov and Vargas, {Patricia A} and Couceiro, {Micael S.}",

year = "2017",

month = feb,

day = "13",

doi = "10.1109/SSCI.2016.7850183",

language = "English",

booktitle = "2016 IEEE Symposium Series on Computational Intelligence (SSCI)",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 ; Conference date: 06-12-2016 Through 09-12-2016",

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TY - GEN

T1 - Towards the evolution of indirect communication for social robots

AU - Mocialov, Boris

AU - Vargas, Patricia A

AU - Couceiro, Micael S.

PY - 2017/2/13

Y1 - 2017/2/13

N2 - 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.

AB - 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.

U2 - 10.1109/SSCI.2016.7850183

DO - 10.1109/SSCI.2016.7850183

M3 - Conference contribution

BT - 2016 IEEE Symposium Series on Computational Intelligence (SSCI)

PB - IEEE

T2 - 2016 IEEE Symposium Series on Computational Intelligence

Y2 - 6 December 2016 through 9 December 2016

ER -

Towards the evolution of indirect communication for social robots

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