Sequence Learning in Mobile Robots Using Avalanche Neural Networks
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Learning obstacle avoidance with an operant behavior model
Artificial Life
Neural networks for mobile robot navigation: a survey
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Bio-inspired navigation of mobile robots
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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We have recently shown that a neural network model of classical and operant conditioning can be trained to control the movements of a wheeled mobile robot. The neural network learns to avoid obstacles as the robot moves around without supervision in a cluttered environment. The neural network does not require any knowledge about the quality or configuration of the sensors. In this article we report results using our neural network with the real mobile robot Khepera.