Yiqing Shao MSc Dissertation 2015/16

Using Voice to Control a Robot’s Behaviours

Supervised by E.Vasilaki

Abstract

In order to establish a model with the purpose of the collision avoidance behaviour  in the field of robotics, learning and understanding the principle of N euroscience  involved the human beings brain and its structure mentioned by Braitenber g  is  a research problem with many potential applications. This thesis will utilize a software to simulate the various motion behaviours of robots based on aspects of the exist algorithms. The model with the neural network system will attempt to deal with the situation or issues with some novel obstacles, such as the light sources and the voice sources. Due to the various materials of the target items, it is important to employ several kinds of input devices to obtain some key information about surrounding environment. Combining the multiple sensors of a robot will imitate several motion behaviours that are related to the biological beings.