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1313Python codes for robotics algorithm.
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1815# Table of Contents
1916 * [ What is this?] ( #what-is-this )
2017 * [ Requirements] ( #requirements )
@@ -27,7 +24,7 @@ Python codes for robotics algorithm.
2724 * [ Mapping] ( #mapping )
2825 * [ Gaussian grid map] ( #gaussian-grid-map )
2926 * [ Ray casting grid map] ( #ray-casting-grid-map )
30- * [ Lidar to grid map] ( #lidar-to-grid-map )
27+ * [ Lidar to grid map] ( #lidar-to-grid-map )
3128 * [ k-means object clustering] ( #k-means-object-clustering )
3229 * [ Rectangle fitting] ( #rectangle-fitting )
3330 * [ SLAM] ( #slam )
@@ -40,6 +37,7 @@ Python codes for robotics algorithm.
4037 * [ Dijkstra algorithm] ( #dijkstra-algorithm )
4138 * [ A* algorithm] ( #a-algorithm )
4239 * [ Potential Field algorithm] ( #potential-field-algorithm )
40+ * [ Potential Field algorithm] ( #potential-field-algorithm-1 )
4341 * [ State Lattice Planning] ( #state-lattice-planning )
4442 * [ Biased polar sampling] ( #biased-polar-sampling )
4543 * [ Lane sampling] ( #lane-sampling )
@@ -299,6 +297,12 @@ Ref:
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300298- [ Robotic Motion Planning: Potential Functions] ( https://www.cs.cmu.edu/~motionplanning/lecture/Chap4-Potential-Field_howie.pdf )
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300+ ### Potential Field algorithm
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302+ This is a 2D grid based coverage path planning simulation.
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304+ ![ PotentialField] ( https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/GridBasedSweepCPP/animation.gif )
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302306## State Lattice Planning
303307
304308This script is a path planning code with state lattice planning.
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