Limits and potential of an experience metric space in a mobile domestic robot

Nathan Burke, Joe Saunders, Kerstin Dautenhahn, Chrystopher Nehaniv

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

Abstract

This paper discusses the concept of an Interaction History Architecture, its use in training a simple task on a mobile domestic robot and some negative results which point to limitations of such an approach. We begin with a brief history its use which motivated the current research. It is based upon Shannon Information Theory and has previously been used in both humanoid and non-humanoid robots. These studies hinted at the ability of using the Interaction History Architecture to classify actions on a broader scale. The experiment outlined is an early test-bed for the use of this on a domestic robot as well as introducing negative rewards to the system. We then present the results from this and discuss and explain some of the difficulties and limitations that were uncovered in this type of approach.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Nature Link
Pages94-99
Number of pages6
Volume9287
ISBN (Print)9783319224152
DOIs
Publication statusPublished - 2015
Event16th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2015 - Liverpool, United Kingdom
Duration: 8 Sept 201510 Sept 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9287
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference16th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2015
Country/TerritoryUnited Kingdom
CityLiverpool
Period8/09/1510/09/15

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