Run-time detection of faults in autonomous mobile robots based on the comparison of simulated and real robot behaviour

Alan G. Millard, Jon Timmis, Alan F.T. Winfield

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

24 Citations (Scopus)

Abstract

This paper presents a novel approach to the run-time detection of faults in autonomous mobile robots, based on simulated predictions of real robot behaviour. We show that although simulation can be used to predict real robot behaviour, drift between simulation and reality occurs over time due to the reality gap. This necessitates periodic reinitialisation of the simulation to reduce false positives. Using a simple obstacle avoidance controller afflicted with partial motor failure, we show that selecting the length of this reinitialisation time period is non-trivial, and that there exists a trade-off between minimising drift and the ability to detect the presence of faults.

Original languageEnglish
Title of host publicationIROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherIEEE Press
Pages3720-3725
Number of pages6
ISBN (Electronic)9781479969340
DOIs
Publication statusPublished - 31 Oct 2014
Event2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014 - Chicago, United States of America
Duration: 14 Sept 201418 Sept 2014

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
Country/TerritoryUnited States of America
CityChicago
Period14 Sept 201418 Sept 2014

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