Files
PathPlanning/Search-based Planning/Search_3D/env3D.py
T
yue qi 4bc5db1e07 LPA*
2020-07-02 14:41:09 -07:00

61 lines
2.0 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():
# 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 for j in i])
return np.array(Obstacles)
def getAABB(blocks):
# used for Pyrr package for detecting collision
AABB = []
for i in blocks:
AABB.append(np.array([np.add(i[0:3], -0), np.add(i[3:6], 0)])) # make AABBs alittle bit of larger
return AABB
def getballs():
spheres = [[16,2.5,4,2],[10,2.5,1,1]]
Obstacles = []
for i in spheres:
Obstacles.append([j for j in i])
return np.array(Obstacles)
def add_block(block = [1.51e+01, 0.00e+00, 2.10e+00, 1.59e+01, 5.00e+00, 6.00e+00]):
return block
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])
self.blocks = getblocks()
self.AABB = getAABB(self.blocks)
self.balls = getballs()
self.start = np.array([0.5, 2.5, 5.5])
self.goal = np.array([19.0, 2.5, 5.5])
def change(self):
newblock = add_block()
self.blocks = np.vstack([self.blocks,newblock])
self.AABB = getAABB(self.blocks)
if __name__ == '__main__':
newenv = env()
print(newenv.balls)