12
12
13
13
Python codes for robotics algorithm.
14
14
15
-
16
-
17
-
18
15
# Table of Contents
19
16
* [ What is this?] ( #what-is-this )
20
17
* [ Requirements] ( #requirements )
@@ -27,7 +24,7 @@ Python codes for robotics algorithm.
27
24
* [ Mapping] ( #mapping )
28
25
* [ Gaussian grid map] ( #gaussian-grid-map )
29
26
* [ 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 )
31
28
* [ k-means object clustering] ( #k-means-object-clustering )
32
29
* [ Rectangle fitting] ( #rectangle-fitting )
33
30
* [ SLAM] ( #slam )
@@ -40,6 +37,7 @@ Python codes for robotics algorithm.
40
37
* [ Dijkstra algorithm] ( #dijkstra-algorithm )
41
38
* [ A* algorithm] ( #a-algorithm )
42
39
* [ Potential Field algorithm] ( #potential-field-algorithm )
40
+ * [ Potential Field algorithm] ( #potential-field-algorithm-1 )
43
41
* [ State Lattice Planning] ( #state-lattice-planning )
44
42
* [ Biased polar sampling] ( #biased-polar-sampling )
45
43
* [ Lane sampling] ( #lane-sampling )
@@ -299,6 +297,12 @@ Ref:
299
297
300
298
- [ Robotic Motion Planning: Potential Functions] ( https://www.cs.cmu.edu/~motionplanning/lecture/Chap4-Potential-Field_howie.pdf )
301
299
300
+ ### Potential Field algorithm
301
+
302
+ This is a 2D grid based coverage path planning simulation.
303
+
304
+ ![ PotentialField] ( https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/GridBasedSweepCPP/animation.gif )
305
+
302
306
## State Lattice Planning
303
307
304
308
This script is a path planning code with state lattice planning.
@@ -609,3 +613,4 @@ This is a list: [Users comments](https://github.com/AtsushiSakai/PythonRobotics/
609
613
610
614
611
615
616
+
0 commit comments