PathPlanning

Why we included this project

Students and researchers working on robot navigation will get real value out of this one. It collects the two main branches of motion planning in one Python repo: search-based methods such as A*, D Lite, and LPA*, plus sampling-based ones like RRT, RRT*, and their informed variants. Every algorithm comes with an animation that shows the search as it runs, which makes the trade-offs between approaches much clearer than working through the papers on your own. A linked list of the source papers lets you trace each implementation back to its origin, so the project works as a teaching aid and as a quick reference when you are deciding which planner fits a given problem. The routines are short and readable, so they also make a good starting point before you move an idea into a full planning stack.