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PathPlanning/Sampling-based Planning/rrt_3D/env3D.py
T
2020-06-24 22:01:12 -07:00

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1.6 KiB
Python

# this is the three dimensional configuration space for rrt
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: yue qi
"""
import numpy as np
def getblocks(resolution):
# AABBs
block = [[3.10e+00, 0.00e+00, 2.10e+00, 3.90e+00, 5.00e+00, 6.00e+00],
[9.10e+00, 0.00e+00, 2.10e+00, 9.90e+00, 5.00e+00, 6.00e+00],
#[1.51e+01, 0.00e+00, 2.10e+00, 1.59e+01, 5.00e+00, 6.00e+00],
#[1.00e-01, 0.00e+00, 0.00e+00, 9.00e-01, 5.00e+00, 3.90e+00],
#[6.10e+00, 0.00e+00, 0.00e+00, 6.90e+00, 5.00e+00, 3.90e+00],
[1.21e+01, 0.00e+00, 0.00e+00, 1.29e+01, 5.00e+00, 3.90e+00],
[1.81e+01, 0.00e+00, 0.00e+00, 1.89e+01, 5.00e+00, 3.90e+00]]
Obstacles = []
for i in block:
i = np.array(i)
Obstacles.append([j/resolution for j in i])
return np.array(Obstacles)
def getballs(resolution):
spheres = [[16,2.5,3,2],[10,2.5,1,1]]
Obstacles = []
for i in spheres:
Obstacles.append([j/resolution for j in i])
return np.array(Obstacles)
class env():
def __init__(self, xmin=0, ymin=0, zmin=0, xmax=20, ymax=5, zmax=6, resolution=1):
self.resolution = resolution
self.boundary = np.array([xmin, ymin, zmin, xmax, ymax, zmax]) / resolution
self.blocks = getblocks(resolution)
self.balls = getballs(resolution)
self.start = np.array([0.5, 2.5, 5.5])
self.goal = np.array([19.0, 2.5, 5.5])
def visualize(self):
# fig = plt.figure()
# TODO: do visualizations
return
if __name__ == '__main__':
newenv = env()
print(newenv.balls)