A 2D conveyor belt driven by a RD-CNN

This paper presents a two-dimensional conveyor belt controlled by reaction-diffusion cellular neural network (RD-CNN) to generate waves propagation phenomena. They can propagate on the conveyor belt plane (an elastic membrane), moving an abject between two points by a new kind of actuators - the Nitinol wires. A neural identification process of the membrane is illustrated to allow a suitable choice of the Nitinol dimensions. Moreover, it is shown both thermal and timing Nitinol behaviors are very similar to the slow-fast dynamics exhibited by a RD-CNN.