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Adaptive behavior navigation of a mobile robot

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4 Author(s)
Zalama, E. ; Instituto de las Tecnologias de la Produccion, Valladolid Univ., Spain ; Gomez, J. ; Paul, M. ; Peran, J.R.

Describes a neural network model for the reactive behavioral navigation of a mobile robot. From the information received through the sensors the robot can elicit one of several behaviors (e.g., stop, avoid, stroll, wall following), through a competitive neural network. The robot is able to develop a control strategy depending on sensor information and learning operation. Reinforcement learning improves the navigation of the robot by adapting the eligibility of the behaviors and determining the linear and angular robot velocities

Published in:

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:32 ,  Issue: 1 )

Date of Publication:

Jan 2002

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