Path planning is a key research area in the field of robotics and artificial intelligence that involves finding the most efficient path for a robot or autonomous agent to navigate from its current location to a desired goal location. This can involve considering factors such as obstacles in the environment, the physical capabilities of the robot, and any constraints on the movement of the robot. Researchers develop algorithms and techniques to solve the path planning problem, such as A* search, Dijkstra's algorithm, and potential field methods. These algorithms aim to find a path that minimizes certain criteria, such as distance traveled, time taken, or energy expended, while avoiding obstacles and other hazards. Path planning is essential for a wide range of applications, including autonomous vehicles, robotic manipulators, and unmanned aerial vehicles (drones). It is a challenging and important area of research that continues to evolve as technology advances and new challenges arise.