@inproceedings{e03ecca580524551a3d5f64371c8021f,
title = "An adaptive neuro-endocrine system for robotic systems",
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.",
author = "Jon Timmis and Mark Neal and James Thorniley",
year = "2009",
doi = "10.1109/RIISS.2009.4937917",
language = "English",
isbn = "9781424427536",
series = "2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 - Proceedings",
publisher = "IEEE Press",
pages = "129--136",
booktitle = "2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 - Proceedings",
address = "United States of America",
note = "2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RiiSS 2009 ; Conference date: 30-03-2009 Through 02-04-2009",
}