úttervezés

Úttervezés, often translated as route planning or pathfinding, is the process of determining a sequence of actions or a path to achieve a specific goal. In many contexts, it involves identifying a series of steps or a physical trajectory that leads from a starting point to a desired destination. This process is fundamental to numerous fields, including computer science, artificial intelligence, robotics, and transportation.

In computer science and artificial intelligence, úttervezés is often approached using algorithms. These algorithms explore a state space, which represents all possible configurations or locations, to find an optimal or feasible path. Common algorithms include Dijkstra's algorithm, A* search, and breadth-first search. These methods are employed in applications like GPS navigation systems, game AI for character movement, and logistics optimization.

Robotics heavily relies on úttervezés for autonomous navigation. Robots need to plan paths that avoid obstacles, navigate complex environments, and reach their targets efficiently. This often involves sensor data to map the environment and real-time path adjustments. In logistics, úttervezés is crucial for optimizing delivery routes, minimizing travel time and fuel consumption, and ensuring timely arrival of goods. The underlying principles remain the same: identifying a sequence of movements or decisions that leads to a desired outcome while considering various constraints and objectives.