The Rapidly-exploring Random Tree (RRT) is a highly efficient algorithm designed for searching high-dimensional spaces by incrementally building a tree that rapidly explores the space. It is particularly effective in path planning problems, where it can quickly find feasible paths in complex environments by randomly sampling the space and connecting these samples in a tree structure.