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A static walking robot to implement a neural network system

Daya B., Chauvet P.

Systems Science

2005

Vol. 31, no 1

27-35

In this paper, we consider the control of a simple static walking robot. We develop a prototype which will be able to test much architecture of artificial neural networks. The mechanism is driven by two servomotors. Its control system comprises an electronic circuit based on a programmable IC. The locomotion of the prototype has six states: forward, turn right, turn left, back right, pivot back and stay. We describe here the mechanism, the characteristics of the drives and the control strategy. In the first experiment which consists in avoiding obstacles, the designed algorithm was successfully implemented in the microcontroller, thus, making the robot intelligent.