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README.md
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README.md
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Python codes for robotics algorithm.
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# Table of Contents
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* [What is this?](#what-is-this)
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* [Requirements](#requirements)
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* [Mapping](#mapping)
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* [Gaussian grid map](#gaussian-grid-map)
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* [Ray casting grid map](#ray-casting-grid-map)
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* [Lidar to grid map](#lidar-to-grid-map)
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* [Lidar to grid map](#lidar-to-grid-map)
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* [k-means object clustering](#k-means-object-clustering)
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* [Rectangle fitting](#rectangle-fitting)
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* [SLAM](#slam)
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* [Dijkstra algorithm](#dijkstra-algorithm)
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* [A* algorithm](#a-algorithm)
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* [Potential Field algorithm](#potential-field-algorithm)
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* [Potential Field algorithm](#potential-field-algorithm-1)
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* [State Lattice Planning](#state-lattice-planning)
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* [Biased polar sampling](#biased-polar-sampling)
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* [Lane sampling](#lane-sampling)
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- [Robotic Motion Planning:Potential Functions](https://www.cs.cmu.edu/~motionplanning/lecture/Chap4-Potential-Field_howie.pdf)
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### Potential Field algorithm
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This is a 2D grid based coverage path planning simulation.
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## State Lattice Planning
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This script is a path planning code with state lattice planning.
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