A framework for an artificial immunity and speech based navigation for mobile robots

In recent years speech recognition technology and immunity based algorithms have made an impact in various areas and are deployed for a wide range of applications. This paper describes a learning process of a mobile robot which takes speech input as commands and performs some navigation task through a distinct man-machine interaction with the application of the learning based on the Artificial Immune System. For this purpose a 4-channel radio controlled Wheelbot and Microsofpsilas Speech SDK for speech recognition is employed. The speech recognition system is trained to recognize defined commands and the robot has been designed to navigate based on the instruction through the Speech Commands. The position of the obstacles are learnt and avoided by the help of immune algorithm.