DocumentCode
270768
Title
Bio-inspired architecture for a reactive-deliberative robot controller
Author
Rubilar, Fabian ; Escobar, MariÌa-joseÌ ; Arredondo, TomaÌs
Author_Institution
Dept. of Electron. Eng., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
fYear
2014
fDate
6-11 July 2014
Firstpage
2027
Lastpage
2035
Abstract
An incremental, bio-inspired control architecture for robots is proposed. The architecture is composed of two layers where each layer is intended to react in an analogous way to how our brain reacts to external and internal stimuli, using instinctive or deliberative reactions. The first layer, the Drive/Emotional Controller (DE Controller), uses Action Programs which are instinctual, low-level responses to a certain external stimuli. The second layer, the Deliberative/Reflective Controller (DR Controller), can only react to changes in the internal state of the DE controller. Memory, self-reflection, feelings and imagination are some of the concepts that could be considered by the DR Controller architecture, which is intended to generate high-level conscious reactions. These controllers integrate emotions into standard behavior-based architectures. We tested the proposed architecture in a task of free exploration using MODI, a two-wheeled mobile robot. Two DR controllers are tested in three different scenarios validating the proposed architecture in robotic applications.
Keywords
intelligent robots; mobile robots; DE controller; DR controller architecture; MODI; action programs; bioinspired control architecture; deliberative-reflective controller; drive-emotional controller; emotion integration; incremental control architecture; reactive deliberative robot controller; self-reflection; standard behavior-based architecture; wheeled mobile robot; Actuators; MODIS; Process control; Robot sensing systems; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889813
Filename
6889813
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