A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2000

AUTHORS

Mathias Quoy , Philippe Gaussier , Sacha Leprêtre , Arnaud Revel , Jean-Paul Banquet

ABSTRACT

We present here a neural model for mobile robot action selection and trajectories planning. It is based on the elaboration of a “cognitive map”. This cognitive map builds up a graph linking together reachable places. We first demonstrate that this map may be used for the control of the robot speed assuring a convergence to the goal. We show afterwards that this model enables to select between different goals in a static environment and finally in a changing environment. More... »

PAGES

103-119

Book

TITLE

Advances in Robot Learning

ISBN

978-3-540-41162-8
978-3-540-40044-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-40044-3_7

DOI

http://dx.doi.org/10.1007/3-540-40044-3_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050737265


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142 rdf:type schema:Organization
 




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