Will wall-following work when trying to solve a maze?

Wall-following is a navigation strategy used to traverse through a maze by keeping one hand (or side) in contact with the wall of the maze. While wall-following can be an effective approach in certain maze configurations, its success is contingent upon all sorts of factors, including maze layout, complexity, presence of loops, and the specific…

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Wall-following is a navigation strategy used to traverse through a maze by keeping one hand (or side) in contact with the wall of the maze. While wall-following can be an effective approach in certain maze configurations, its success is contingent upon all sorts of factors, including maze layout, complexity, presence of loops, and the specific implementation of the strategy.

In this article we will discuss the efficacy of wall-following as a maze-solving strategy, outlining its advantages, limitations, and instances where it may or may not work optimally.

What is wall-following?

At its core, wall-following operates on a simple principle: by maintaining contact with a wall (usually the left wall, but you can also use the right wall), you can systematically explore a maze without getting lost.

This strategy leverages the maze’s structure, using the wall as a guide to navigate towards the maze’s exit. The effectiveness of wall-following depends a lot on the maze’s design and the rules you set for your movement.

When does wall-following work?

In a simple and connected maze — one without loops or disconnected pathways — wall-following is a pretty reliable method to find the exit. If the design of the maze ensures that following a wall will eventually lead to the goal without encountering loops or blocked paths, then this strategy can efficiently guide you out to the exit of the maze.

In such a situation, your choice of following the left or right wall becomes irrelevant; as long as you adheres consistently to the chosen side, you will eventually find the exit of the maze.

When does wall-following not work?

On the other hand, the effectiveness of wall-following diminishes in more complex maze configurations.

One significant limitation is when the maze contains loops or circuits that could potentially mislead you. In such mazes, you might end up circulating within the loop indefinitely should you adhere to the wall-following strategy. This means you’ll be unable to reach the exit despite diligently following the wall.

Loops can confuse the strategy, leading to what’s known as ‘wall hugging’, where you perpetually navigate along the loop without progressing toward the maze’s exit.

Besides, certain maze designs can make the wall-following strategy completely ineffective due to blocked passages or inaccessible areas that prevent you from reaching the exit solely by following a wall. For example, dead ends, islands, or unreachable sections can prevent you from progressing and confound the simplicity of wall-following as a viable strategy.

Wall-following strategy enhancements

Despite its limitations, wall-following remains a popular and straightforward approach in maze-solving due to its ease of implementation and applicability in certain maze structures.

To increase the effectiveness of wall-following, variations of the strategy have been developed. For example, modifications such as ‘randomized wall-following’ involve periodically switching sides when encountering certain situations. Such modifications aim to mitigate the issues associated with loops and blocked paths.

Conclusion

So, is wall-following a good strategy for solving mazes?

In conclusion, wall-following can be an efficient maze-solving strategy in simple maze configurations where loops and blocked paths are absent. However, its effectiveness diminishes in more intricate mazes with loops or inaccessible areas.

While it serves as a fundamental algorithm in robotics and maze-solving contexts, its limitations highlight the need for more sophisticated strategies, sensor enhancements, or algorithmic adaptations to tackle the complexities of diverse maze designs and ensure reliable navigation for robots.

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