Sigma Maze Solved with A* Algorithm (Manhattan Distance)

Описание: In this video, observe the A* (A-Star) algorithm as it solves a Sigma-shaped maze using Manhattan distance as the heuristic. A* is a widely recognized pathfinding algorithm, known for its ability to efficiently find the shortest path in complex environments.

1. Overview of the Maze:
The maze is crafted in the shape of a Sigma, with intricate pathways and dead ends that create a challenging environment for any pathfinding algorithm.

2. A* Algorithm with Manhattan Distance:
The A* algorithm combines the actual cost to reach a point with a heuristic estimate of the remaining distance to the goal. In this scenario, Manhattan distance is used as the heuristic, which calculates the distance between two points based on grid-like movement (i.e., only horizontal and vertical steps). This makes the algorithm particularly suited for mazes structured on a grid.

3. Visualization:
The animation showcases the A* algorithm as it navigates the Sigma-shaped maze, selecting paths that minimize the total cost to the exit based on Manhattan distance. This step-by-step visualization highlights the effectiveness of A* in grid-based environments.

Watch as the A* algorithm expertly solves a Sigma-shaped maze using Manhattan distance, demonstrating its proficiency in navigating grid-like structures. This video is ideal for those interested in pathfinding algorithms and their practical applications in maze solving.