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Modeling Consciousness for Autonomous Robot Exploration

Resource type
Book Section
Authors/contributors
Title
Modeling Consciousness for Autonomous Robot Exploration
Abstract
This work aims to describe the application of a novel machine consciousness model to a particular problem of unknown environment exploration. This relatively simple problem is analyzed from the point of view of the possible benefits that cognitive capabilities like attention, environment awareness and emotional learning can offer. The model we have developed integrates these concepts into a situated agent control framework, whose first version is being tested in an advanced robotics simulator. The implementation of the relationships and synergies between the different cognitive functionalities of consciousness in the domain of autonomous robotics is also discussed.
Book Title
Bio-inspired Modeling of Cognitive Tasks
Volume
4527
Place
Berlin, Heidelberg
Publisher
Springer Berlin Heidelberg
Date
2007
Pages
51-60
Language
en
ISBN
978-3-540-73052-1 978-3-540-73053-8
Accessed
3/7/25, 9:16 AM
Library Catalog
DOI.org (Crossref)
Extra
ISSN: 0302-9743, 1611-3349 Series Title: Lecture Notes in Computer Science DOI: 10.1007/978-3-540-73053-8_5
Citation
Arrabales Moreno, R., Ledezma Espino, A., & Sanchis De Miguel, A. (2007). Modeling Consciousness for Autonomous Robot Exploration. In J. Mira & J. R. Álvarez (Eds.), Bio-inspired Modeling of Cognitive Tasks (Vol. 4527, pp. 51–60). Springer Berlin Heidelberg. http://link.springer.com/10.1007/978-3-540-73053-8_5