Fully integrated artificial intelligence solution for real time route tracking

In this paper the authors propose a solution in which an intelligent algorithm - genetic algorithm in our case - is used to generate commands for a robot in real time, so that the robot can determine the optimal moves considering several aspects: route tracking and low power consumption. Genetic algorithms are intelligent solutions for multi-criteria optimization and using them to find solutions to the optimization problems containing constrictions. However, they were designed as algorithms running on computer and therefore cannot ensure rapid generation of the solutions. On the other hand, the problem of determining the optimal response to command a robot requires real time response. The paper presents a method for hardware implementation and integration in a FPGA circuit of a genetic algorithm, in order to accelerate the convergence and to generate solutions in real time.