IROS 2015 Paper Abstract

Close

Paper ThAT1.1

Lanillos, Pablo (ISR, University of Coimbra), Ferreira, Joćo Filipe (ISR, FCT - University of Coimbra (NIF: 502971142)), Dias, Jorge (University of Coimbra)

Designing an Artificial Attention System for Social Robots

Scheduled for presentation during the Regular session "Cognitive Human-Robot Interaction" (ThAT1), Thursday, October 1, 2015, 08:30−08:45, Saal A1

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany

This information is tentative and subject to change. Compiled on July 20, 2019

Keywords Cognitive Human-Robot Interaction, Human-Robot Interaction, Robot Companions and Social Human-Robot Interaction

Abstract

In this paper, we introduce the main components comprising the action-perception loop of an overarching framework implementing artificial attention, designed to fulfil the requirements of social interaction (i.e., reciprocity, and awareness), with strong inspiration on current theories in functional neuroscience. We demonstrate the potential of our framework, by showing how it exhibits coherent behaviour without any inbuilt prior expectations regarding the experimental scenario. Current research in cognitive systems for social robots has suggested that automatic attention mechanisms are essential to social interaction. In fact, we hypothesise that enabling artificial cognitive systems with middleware implementing these mechanisms will empower robots to perform adaptively and with a higher degree of autonomy in complex and social environments. However, this type of assumption is yet to be convincingly and systematically put to the test. The ultimate goal will be to test our working hypothesis and the role of attention in adaptive, social robotics.

 

 

Technical Content © IEEE Robotics & Automation Society


This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2019 PaperCept, Inc.
Page generated 2019-07-20  01:08:38 PST  Terms of use