To use a robot, you need to be able to plan a path from point A to point B — bonus points for not hitting anything. This is the cornerstone of our roadmap for robotics. Here’s a quick overview of the different ways to achieve this.
As discussed in the OMPL primer, there are different families of planning algorithms. In this first post we’ll focus on sampling-based planning.