Path Planning
Path planning is a computational problem in robotics, autonomous systems, and computer science that involves finding an optimal or feasible path from a start point to a goal point while avoiding obstacles and satisfying constraints. It is fundamental for enabling robots, drones, and self-driving vehicles to navigate environments safely and efficiently. Algorithms for path planning range from simple graph-based searches to complex probabilistic methods that handle dynamic or uncertain conditions.
Developers should learn path planning when working on autonomous systems, robotics, video games, or logistics optimization, as it is essential for tasks like robot navigation, drone flight paths, and character movement in games. It is particularly valuable in fields requiring real-time decision-making in complex environments, such as autonomous vehicles or warehouse automation, where efficient and collision-free routes are critical for performance and safety.