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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...   -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.