Path problems refer to challenges in finding the most efficient route or sequence to achieve a specific goal. These problems often arise in fields like computer science, logistics, and transportation, where determining the shortest or least costly path is crucial. Common examples include the Traveling Salesman Problem and Dijkstra's Algorithm, which help in optimizing routes. In addition to practical applications, path problems can also be theoretical, involving mathematical models and algorithms. They are essential in network design, robotics, and game development, where navigating through complex environments is necessary. Understanding these problems aids in improving efficiency and resource management.