Neurobiologically inspired mobile robot navigation and planning
- 1
LIMSI-CNRS, France
- 2
ETIS ENSEA-UCP-CNRS 8051, Université de Cergy-Pontoise, France
After a short review of biologically inspired navigation architectures, mainly relying on modeling the hippocampal anatomy, or at least some of its functions, we present a navigation and planning model for mobile robots. This architecture is based on a model of the hippocampal and prefrontal interactions. In particular, the system relies on the definition of a new cell type “transition cells” that encompasses traditional “place cells”.
Keywords:
planning, neural networks, hippocampus, place cells, transition cells
Citation:
Nicolas Cuperlier, Mathias Quoy and Philippe Gaussier (2007). Neurobiologically inspired mobile robot navigation and planning. Front. Neurorobot. 1:3. doi: 10.3389/neuro.12/003.2007
Received: 5 September 2007;
Paper pending published: 24 September 2007;
Accepted: 15 October 2007;
Published online: 2 November 2007.
Edited by:
Frederic Kaplan, Ecole Polytechnique Federale de Lausanne, Switzerland
Reviewed by:
Verena V. Hafner, Humboldt-Universität zu Berlin, Germany
Ricardo Chavarriaga, IDIAP Research Instiute, Switzerland
Copyright:
© 2007 Cuperlier, Quoy, Gaussier. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
*Correspondence:
Mathias Quoy, ETIS ENSEA-UCP-CNRS 8051, 2, av. A Chauvin, Université de Cergy-Pontoise, 95014 Cergy-Pontoise, France. e-mail: quoy@u-cergy.fr