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

See the other videos in this series:    • Autonomous Navigation  

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:    • A* Pathfinding (E01: algorithm explan...  
RRT, RRT* & Random Trees by Aaron Becker video:    • RRT, RRT* & Random Trees  
RRT* FND: Motion Planning in Dynamic Environments video:    • RRT* FND - motion planning in dynamic...  

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