Title: Reinforcement Learning for the Behavioral Navigation of a Mobile Robot
Abstract: This paper describes a neural network model for the reactive behavioral navigation of a mobile robot. Depending of the sensor information the robot can elicit among different behaviors: 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 improve the navigation of the robot adapting the eligibility of the behaviors and the robot and the linear and angular robot velocities.
Publication Year: 1999
Publication Date: 1999-07-01
Language: en
Type: article
Indexed In: ['crossref']
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