Modelling the Robot Problem Solving using the Set Data Structure

The robot problem solving is an important and significative argument because it is used in many environments: automated factories, automated vehicles and, in general, in many artificial intelligence problems. The goal of the robot problem solving is to compute a sequence of actions that change the initial system configuration into a well-defined final one. In this paper, it is described a new approach to the robot problem solver based on the set data structure. We have used SEL, a set-based language, to write a program that implement the model. Besides, the process and data parallel implementation of the robot solving are discussed.