This example visualizes the path finding algorithm RRT* in a simple environment.
LineStrips2D
, Points2D
, TextDocument
The algorithm finds a path between two points by randomly expanding a tree from the start point. After it has added a random edge to the tree it looks at nearby nodes to check if it's faster to reach them through this new edge instead, and if so it changes the parent of these nodes. This ensures that the algorithm will converge to the optimal path given enough time.
A detailed explanation can be found in the original paper Karaman, S. Frazzoli, S. 2011. "Sampling-based algorithms for optimal motion planning". or in this medium article
All points are logged using the Points2D
archetype, while the lines are logged using the LineStrips2D LineStrips2D
.
The visualizations in this example were created with the following Rerun code:
rr.log("map/start", rr.Points2D([start_point], radii=0.02, colors=[[255, 255, 255, 255]]))
rr.log("map/destination", rr.Points2D([end_point], radii=0.02, colors=[[255, 255, 0, 255]]))
rr.log("map/obstacles", rr.LineStrips2D(self.obstacles))
rr.log("map/tree/edges", rr.LineStrips2D(tree.segments(), radii=0.0005, colors=[0, 0, 255, 128]))
rr.log("map/new/new_edge", rr.LineStrips2D([(closest_node.pos, new_point)], colors=[color], radii=0.001))
rr.log("map/tree/vertices", rr.Points2D([node.pos for node in tree], radii=0.002), rr.AnyValues(cost=[float(node.cost) for node in tree]))
rr.log("map/new/close_nodes", rr.Points2D([node.pos for node in close_nodes]))
rr.log("map/new/closest_node", rr.Points2D([closest_node.pos], radii=0.008))
rr.log("map/new/random_point", rr.Points2D([random_point], radii=0.008))
rr.log("map/new/new_point", rr.Points2D([new_point], radii=0.008))
rr.log("map/path", rr.LineStrips2D(segments, radii=0.002, colors=[0, 255, 255, 255]))
To run this example, make sure you have the Rerun repository checked out and the latest SDK installed:
pip install --upgrade rerun-sdk # install the latest Rerun SDK
git clone git@github.com:rerun-io/rerun.git # Clone the repository
cd rerun
git checkout latest # Check out the commit matching the latest SDK release
Install the necessary libraries specified in the requirements file:
pip install -e examples/python/rrt_star
To experiment with the provided example, simply execute the main Python script:
python -m rrt_star # run the example
If you wish to customize it, explore additional features, or save it use the CLI with the --help
option for guidance:
python -m rrt_star --help