Application of Route Planning and Obstacle Avoidance System

Recently, research on route planning technologies and obstacle avoidance has gained increasing attention with the rapid development of artificial intelligence. These fundamental technologies are applied in operating systems to support robotic navigation and transfer tasks. Nonetheless, challenges such as lag and uncertainty in predictions remain unsolved, limiting the efficiency and stability of practical applications. To address these issues, scientists continue to explore optimization methods. This paper will introduce such technologies by explaining their definitions, working principles, and coding implementations. Furthermore, a design scheme will be presented as a practical reference, illustrating how these concepts can be applied dynamically. Through this discussion, the paper seeks to encourage further exploration and inspire potential solutions or revisions to overcome existing technical barriers. Moreover, the paper shares the basic theory for helping advanced learning of the technologies, not for the comprehensive application of the operating system, so any sharing of the program is to help appreciate the application of technologies.