Collaborative Robots using Artificial Intelligence Algorithms

Abstract

Robotics technology is advancing at a very rapid rate worldwide, and robotics has become a topic of interest in recent years.  It is also of utmost importance in modern times. The application of intelligence algorithms and how robots cooperate is one of the most important goals in the field of robotics for exploring the environment. Although several algorithms have been used with good effectiveness, the use of advanced search algorithms used to determine the optimal, shortest and least cost path has proven to be superior in most cases. In this paper, two models of intelligence algorithms are proposed and applied, the first is Djikstra and the second is A* algorithms. Our models have been applied to multiple robots using decentralization theory, where each robot makes its own decisions based on local feedback in different environments. The results have demonstrated the effectiveness and applicability of the suggested models for planning paths and movement collaboration, which are among the most important tools in the domain of robotics.