Autonomous Navigation, Part 4: Path Planning with A* and RRT

This video explores some of the ways that we can use a map like a binary occupancy grid for motion and path planning. We briefly cover what motion planning means and how we can use a graph to solve this planning problem. We then walk through two popular approaches for creating that graph: search-based algorithms like A* and sampling-based algorithms like RRT and RRT*.

Additional Resources: 

- Planning Mobile-Robot Paths Using RRT MATLAB: https://bit.ly/38PsPZb - Create an RRT planner: https://bit.ly/2Zoyjac - Download ebook: Sensor Fusion and Tracking for Autonomous Systems: An Overview: https://bit.ly/32iVFzX - Download white paper: Sensor Fusion and Tracking for Autonomous Systems: https://bit.ly/2DwbHvK - Sampling-Based Algorithms for Optimal Motion Planning, Karaman and Frazzoli: https://arxiv.org/pdf/1105.1186.pdf - A* Path Finding by Sebastian Lague video: https://youtu.be/-L-WgKMFuhE - RRT, RRT* & Random Trees by Aaron Becker video: https://www.youtube.com/watch?v=Ob3BI... - RRT* FND: Motion Planning in Dynamic Environments video: https://www.youtube.com/watch?v=hXTnW...