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README.md
27
README.md
@@ -105,8 +105,9 @@ This code uses the model predictive trajectory generator to solve boundary probl
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## Rapidly-Exploring Random Trees (RRT)
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## RRT
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### Basic RRT
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Rapidly Randamized Tree Path planning sample.
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@@ -114,11 +115,7 @@ Rapidly Randamized Tree Path planning sample.
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This script is a simple path planning code with Rapidly-Exploring Random Trees (RRT)
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see (in Japanese) :
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[PythonによるRapidly-Exploring Random Trees (RRT)パスプランニングサンプルプログラム - MyEnigma](http://myenigma.hatenablog.com/entry/2016/03/23/092002)
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## RRTStar
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### RRT\*
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- [Incremental Sampling-based Algorithms for Optimal Motion Planning](https://arxiv.org/abs/1005.0416)
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## RRT Car
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### RRT with bubins path planner
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Path planning for a car robot with RRT and dubins path planner.
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## RRTStarCar
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### RRT\* with dubins path
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Path planning for a car robot with RRT\* and dubings path planner.
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Path planning for a car robot with RRT\* and dubins path planner.
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## RRTStarCar_reeds_sheep
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### RRT\* with reeds-sheep path
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)
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Path planning for a car robot with RRT\* and reeds sheep path planner.
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## Closed Loop RRT\*
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### Closed Loop RRT\*
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A sample code with closed loop RRT\*.
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@@ -165,6 +162,14 @@ Autonomous Urban Driving](http://acl.mit.edu/papers/KuwataTCST09.pdf)
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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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## Cubic spline planning
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A sample code for cubic path planning.
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## Dubins path planning
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