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.