Application of Hidden Markov Model to locate soccer robots

This paper adopts a Hidden Markov Model as a basis for predicting the probabilities in location of soccer robot´s trajectories, develops the corresponding algorithms, and then demonstrates the simplicity of the procedure with simulations. The purpose of the initial presentation is to establish a proper platform for the future comprehensive studies of using Hidden Markov Models to assemble critical observations with uncertainties or random measurement errors in stochastic system modelling and control.