What is rrt?

Rapidly exploring random trees (RRT) is a popular algorithm used in robotics and motion planning to efficiently search for a feasible path from a start point to a goal point in a given environment.

RRT works by building a tree of possible paths that are randomly sampled and then expanded towards unexplored areas of the configuration space. The algorithm incrementally grows the tree, continuously taking random samples and expanding towards new points, until a path from the start to the goal is found.

One of the advantages of RRT is its ability to quickly explore complex and high-dimensional environments, making it suitable for real-time robot motion planning tasks. It is also tolerant to uncertainties in the environment and can adapt to changing conditions.

RRT has been widely used in various applications such as autonomous driving, robotic manipulation, and video game design. It is considered one of the most efficient and effective algorithms for path planning in dynamic and unknown environments.