Implementation of a neural-based navigation approach on indoor and outdoor mobile robots

This paper presents an implementation of a neural-based navigation approach on two types of mobile robots namely the Robucar and Robuter. This approach must provide these robots with capability to acquire the obstacle avoidance and target localization behaviors after learning. Then, this approach uses three Neural Networks (NN) to achieve the desired task which can be performed in indoor or outdoor environments. Implementation of the approach and experimental results are presented showing the effectiveness of the overall navigation control system.