A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot

Renan C. Moioli, Patricia A. Vargas, Phil Husbands

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

15 Citations (Scopus)

Abstract

This work proposes a biologically inspired system for the coordination of multiple and possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel scenarios while ensuring its internal variables dynamics. The proposed Evolutionary Artificial Homeostatic System, derived from the study of how an organism would self-regulate in order to keep its essential variables within a limited range (homeostasis), is composed of an artificial endocrine system, including two hormones and two hormone receptors, and also three previously evolved NSGasNet artificial neural networks. It is shown that the integration of receptors enhance the system robustness without incorporating to the three evolved NSGas- Nets more a priori knowledge. The experiments conducted also show that the proposed multi-hormone evolutionary artificial homeostatic system is able to successfully coordinate a multiple and conflicting behaviours task, being also robust enough to cope with internal and external disruptions. © 2009 IEEE.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages47-54
Number of pages8
DOIs
Publication statusPublished - 2009
Event2009 IEEE Congress on Evolutionary Computation - Trondheim, Norway
Duration: 18 May 200921 May 2009

Conference

Conference2009 IEEE Congress on Evolutionary Computation
Abbreviated titleCEC 2009
Country/TerritoryNorway
CityTrondheim
Period18/05/0921/05/09

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