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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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* [RRT* with dubins path](#rrt-with-dubins-path-1)
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* [RRT* with reeds-sheep path](#rrt-with-reeds-sheep-path)
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* [Closed Loop RRT*](#closed-loop-rrt)
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* [LQR-RRT*](#lqr-rrt)
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* [Cubic spline planning](#cubic-spline-planning)
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* [B-Spline planning](#b-spline-planning)
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* [Bezier path planning](#bezier-path-planning)
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- [[1601.06326] Sampling-based Algorithms for Optimal Motion Planning Using Closed-loop Prediction](https://arxiv.org/abs/1601.06326)
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### LQR-RRT\*
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This is a path planning simulation with LQR-RRT\*.
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A double integrator motion model is used for LQR local planner.
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![LQRRRT](https://github.com/AtsushiSakai/PythonRobotics/raw/master/PathPlanning/LQRRRTStar/animation.gif)
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Ref:
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- [LQR\-RRT\*: Optimal Sampling\-Based Motion Planning with Automatically Derived Extension Heuristics](http://lis.csail.mit.edu/pubs/perez-icra12.pdf)
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- [MahanFathi/LQR\-RRTstar: LQR\-RRT\* method is used for random motion planning of a simple pendulum in it's phase plot](https://github.com/MahanFathi/LQR-RRTstar)
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## Cubic spline planning
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A sample code for cubic path planning.
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