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66Python codes for robotics algorithm.
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98# Table of Contents
109 * [ What is this?] ( #what-is-this )
1110 * [ Requirements] ( #requirements )
@@ -53,6 +52,7 @@ Python codes for robotics algorithm.
5352 * [ Quintic polynomials planning] ( #quintic-polynomials-planning )
5453 * [ Dubins path planning] ( #dubins-path-planning )
5554 * [ Reeds Shepp planning] ( #reeds-shepp-planning )
55+ * [ LQR based path planning] ( #lqr-based-path-planning )
5656 * [ Optimal Trajectory in a Frenet Frame] ( #optimal-trajectory-in-a-frenet-frame )
5757 * [ Path tracking] ( #path-tracking )
5858 * [ Pure pursuit tracking] ( #pure-pursuit-tracking )
@@ -546,6 +546,13 @@ Ref:
546546- [ ghliu/pyReedsShepp: Implementation of Reeds Shepp curve\. ] ( https://github.com/ghliu/pyReedsShepp )
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549+ ## LQR based path planning
550+
551+ A sample code using LQR based path planning for double itegrator model.
552+
553+ ![ RSPlanning] ( https://github.com/AtsushiSakai/PythonRobotics/raw/master/PathPlanning/LQRPlanner/animation.gif?raw=true )
554+
555+
549556## Optimal Trajectory in a Frenet Frame
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551558![ 3] ( https://github.com/AtsushiSakai/PythonRobotics/raw/master/PathPlanning/FrenetOptimalTrajectory/animation.gif )
@@ -671,3 +678,4 @@ You can support financially this project via PayPal.
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Original file line number Diff line number Diff line change 1+ from unittest import TestCase
2+
3+ import sys
4+ sys .path .append ("./PathPlanning/LQRPlanner" )
5+
6+ from PathPlanning .LQRPlanner import LQRPlanner as m
7+
8+ print (__file__ )
9+
10+
11+ class Test (TestCase ):
12+
13+ def test1 (self ):
14+ m .show_animation = False
15+ m .main ()
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