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: bit.ly/38PsPZb
- Create an RRT planner: bit.ly/2Zoyjac
- Download ebook: Sensor Fusion and Tracking for Autonomous Systems: An Overview: bit.ly/32iVFzX
- Download white paper: Sensor Fusion and Tracking for Autonomous Systems: bit.ly/2DwbHvK
- Sampling-Based Algorithms for Optimal Motion Planning, Karaman and Frazzoli: arxiv.org/pdf/1105.1186.pdf
- A* Path Finding by Sebastian Lague video: • A* Pathfinding (E01: a...
- RRT, RRT* & Random Trees by Aaron Becker video: • RRT, RRT* & Random Trees
- RRT* FND: Motion Planning in Dynamic Environments video: • RRT* FND - motion plan...
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9 июл 2024