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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)
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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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* [Informed RRT*](#informed-rrt)
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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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This script is a simple path planning code with Rapidly-Exploring Random Trees (RRT)
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This is a simple path planning code with Rapidly-Exploring Random Trees (RRT)
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Black circles are obstacles, green line is a searched tree, red crosses are start and goal positions.
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This script is a path planning code with RRT\*
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This is a path planning code with RRT\*
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Black circles are obstacles, green line is a searched tree, red crosses are start and goal positions.
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Path planning for a car robot with RRT\* and reeds sheep path planner.
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### Informed RRT\*
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)
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This is a path planning code with Informed RRT\*.
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The cyan ellipse is the heuristic sampling domein of Informed RRT\*.
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Ref:
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- [Informed RRT\*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic](https://arxiv.org/pdf/1404.2334.pdf)
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### Closed Loop RRT\*
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A vehicle model based path planning with closed loop RRT\*.
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- [Joe Dinius](https://github.com/jwdinius)
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- [Karan Chawla](https://github.com/karanchawla)
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