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PathPlanning/Search-based Planning/Search_3D/env3D.py
T
yue qi 31694871e4 'D*'
2020-07-10 17:56:46 -07:00

119 lines
4.3 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
class aabb(object):
def __init__(self,AABB):
self.P = [(AABB[3] + AABB[0])/2, (AABB[4] + AABB[1])/2, (AABB[5] + AABB[2])/2]# center point
self.E = [(AABB[3] - AABB[0])/2, (AABB[4] - AABB[1])/2, (AABB[5] - AABB[2])/2]# extents
def getAABB2(blocks):
# used in lineAABB
AABB = []
for i in blocks:
AABB.append(aabb(i))
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 = getAABB2(self.blocks)
self.AABB_pyrr = 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])
self.t = 0 # time
def New_block(self):
newblock = add_block()
self.blocks = np.vstack([self.blocks,newblock])
self.AABB = getAABB2(self.blocks)
self.AABB_pyrr = getAABB(self.blocks)
def move_start(self, x):
self.start = x
def move_block(self, a = [0,0,0], s = 0, v = [0.1,0,0], G = None, block_to_move = 0, mode = 'uniform'):
# t is time , v is velocity in R3, a is acceleration in R3, s is increment ini time,
# G is an orthorgonal transform in R3*3, in the Galilean transformation
# (x',t') = (x + tv, t) is uniform transformation
if mode == 'uniform':
ori = self.blocks[block_to_move]
self.blocks[block_to_move] = \
np.array([ori[0] + self.t * v[0],\
ori[1] + self.t * v[1],\
ori[2] + self.t * v[2],\
ori[3] + self.t * v[0],\
ori[4] + self.t * v[1],\
ori[5] + self.t * v[2]])
self.AABB[block_to_move].P = \
[self.AABB[block_to_move].P[0] + self.t * v[0], \
self.AABB[block_to_move].P[1] + self.t * v[1], \
self.AABB[block_to_move].P[2] + self.t * v[2]]
# (x',t') = (x + a, t + s) is a translation
if mode == 'translation':
ori = self.blocks[block_to_move]
self.blocks[block_to_move] = \
np.array([ori[0] + a[0],\
ori[1] + a[1],\
ori[2] + a[2],\
ori[3] + a[0],\
ori[4] + a[1],\
ori[5] + a[2]])
self.AABB[block_to_move].P = \
[self.AABB[block_to_move].P[0] + a[0], \
self.AABB[block_to_move].P[1] + a[1], \
self.AABB[block_to_move].P[2] + a[2]]
self.t += s
# (x',t') = (Gx, t)
if mode == 'rotation': # this makes AABB become a OBB
#TODO: implement this with rotation matrix
pass
if __name__ == '__main__':
newenv = env()
print(newenv.balls)