Safe navigation and target recognition for a mobile robot using neural networks

Abstract

Recently, there is a large demand on using mobile robots in different life applications. Thus, it is of importance to ensure mobile robot safe navigation towards its destination. In this research Robotino® from Festo company is used to confirm safe navigation issue along with red color target recognition using its IR and camera sensors respectively. Real-time and simulation experiemental results have been obtained in labrotories of faculty of engineering / Philadelphia university / Jordan. Results were taken to train two multi-layers perceptron neural networks. One of them is used to force Robotino® moving towards its target by controlling its linear velocity, while the other one is used to move Robotino® avoiding any possible static or dynamic obstacle in its route. Matlab workspace is used for system analysis and design.