An adaptive neuro-endocrine system for robotic systems

Jon Timmis*, Mark Neal, James Thorniley

*Corresponding author for this work

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

40 Citations (SciVal)

Abstract

We present an adaptive artificial neural-endocrine (AANE) system that is capable of learning "on-line" and exploits environmental data to allow for adaptive behaviour to be demonstrated. Our AANE is capable of learning associations between sensor data and actions, and affords systems the ability to cope with sensor degradation and failure. We have tested our system in real robotic units and demonstrate adaptive behaviour over prolonged periods of time. This work is another step towards creating a robotic control system that affords "homeostasis" for prolonged autonomy.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 - Proceedings
PublisherIEEE Press
Pages129-136
Number of pages8
ISBN (Print)9781424427536
DOIs
Publication statusPublished - 2009
Event2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 - Nashville, TN, United States of America
Duration: 30 Mar 200902 Apr 2009

Publication series

Name2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 - Proceedings

Conference

Conference2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009
Country/TerritoryUnited States of America
CityNashville, TN
Period30 Mar 200902 Apr 2009

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