Review of Artificial Intelligence Applications in the ROS Ecosystem

Artificial intelligence has developed rapidly in recent years. It is permanently established in the field of robotics and science. It is seen as an intelligent decision maker which interacts with the environment or material and can work to achieve the best possible outcome. The biggest factors are the constant increase in computing power and the greater availability of data. With a large amount of data and computational power, solutions to complex problems can be created through machine learning. An application that can independently exploit the information provided to it and make decisions based on it can be considered an AI application. This can be utilized in robotics, for example, by teaching a chess robot to recognize different game pieces from each other. Machine learning can be used to teach a robot to adapt to different situations in a job, for example, to identify chess pieces from different perspectives or to find the most effective solution to a given problem. This article examines the use of artificial intelligence in ROS robotics applications.