LEARNING
Neural control of an autonomous robot
Adriano Pinto, Ramiro S. Barbosa, Manuel F. Silva
- 发表年份
- 2014
- 引用次数
- 2
摘要
This article aims to apply the concepts associated with artificial neural networks (ANN) in the control of an autonomous robot system that is intended to be used in competitions of robots. The robot was tested in several arbitrary paths in order to verify its effectiveness. The results show that the robot performed the tasks with success. Moreover, in the case of arbitrary paths the ANN control outperforms other methodologies, such as fuzzy logic control (FLC).
关键词
RobotArtificial neural networkComputer scienceControl (management)Robot controlFuzzy control systemMobile robotFuzzy logicArtificial intelligenceControl engineering
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