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PathPlanning/Search_based_Planning/Search_3D/env3D.py
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2020-08-13 14:36:18 -07:00

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Python

# this is the three dimensional space
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: yue qi
"""
import numpy as np
# from utils3D import OBB2AABB
def R_matrix(z_angle,y_angle,x_angle):
# s angle: row; y angle: pitch; z angle: yaw
# generate rotation matrix in SO3
# RzRyRx = R, ZYX intrinsic rotation
# also (r1,r2,r3) in R3*3 in {W} frame
# used in obb.O
# [[R p]
# [0T 1]] gives transformation from body to world
return np.array([[np.cos(z_angle), -np.sin(z_angle), 0.0], [np.sin(z_angle), np.cos(z_angle), 0.0], [0.0, 0.0, 1.0]])@ \
np.array([[np.cos(y_angle), 0.0, np.sin(y_angle)], [0.0, 1.0, 0.0], [-np.sin(y_angle), 0.0, np.cos(y_angle)]])@ \
np.array([[1.0, 0.0, 0.0], [0.0, np.cos(x_angle), -np.sin(x_angle)], [0.0, np.sin(x_angle), np.cos(x_angle)]])
def getblocks():
# AABBs
block = [[4.00e+00, 1.20e+01, 0.00e+00, 5.00e+00, 2.00e+01, 5.00e+00],
[5.5e+00, 1.20e+01, 0.00e+00, 1.00e+01, 1.30e+01, 5.00e+00],
[1.00e+01, 1.20e+01, 0.00e+00, 1.40e+01, 1.30e+01, 5.00e+00],
[1.00e+01, 9.00e+00, 0.00e+00, 2.00e+01, 1.00e+01, 5.00e+00],
[9.00e+00, 6.00e+00, 0.00e+00, 1.00e+01, 1.00e+01, 5.00e+00]]
Obstacles = []
for i in block:
i = np.array(i)
Obstacles.append([j for j in i])
return np.array(Obstacles)
def getballs():
spheres = [[2.0,6.0,2.5,1.0],[14.0,14.0,2.5,2]]
Obstacles = []
for i in spheres:
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 getAABB2(blocks):
# used in lineAABB
AABB = []
for i in blocks:
AABB.append(aabb(i))
return AABB
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 aabb(object):
# make AABB out of blocks,
# P: center point
# E: extents
# O: Rotation matrix in SO(3), in {w}
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
self.O = [[1,0,0],[0,1,0],[0,0,1]]
class obb(object):
# P: center point
# E: extents
# O: Rotation matrix in SO(3), in {w}
def __init__(self, P, E, O):
self.P = P
self.E = E
self.O = O
self.T = np.vstack([np.column_stack([self.O.T,-self.O.T@self.P]),[0,0,0,1]])
class env():
def __init__(self, xmin=0, ymin=0, zmin=0, xmax=20, ymax=20, zmax=5, resolution=1):
# def __init__(self, xmin=-5, ymin=0, zmin=-5, xmax=10, ymax=5, zmax=10, 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.OBB = np.array([obb([5.0,7.0,2.5],[0.5,2.0,2.5],R_matrix(135,0,0)),
obb([12.0,4.0,2.5],[0.5,2.0,2.5],R_matrix(45,0,0))])
self.start = np.array([2.0, 2.0, 2.0])
self.goal = np.array([6.0, 16.0, 0.0])
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], block_to_move = 0, mode = 'translation'):
# t is time , v is velocity in R3, a is acceleration in R3, s is increment ini time,
# R is an orthorgonal transform in R3*3, is the rotation matrix
# (s',t') = (s + tv, t) is uniform transformation
# (s',t') = (s + a, t + s) is a translation
if mode == 'translation':
ori = np.array(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
# return a range of block that the block might moved
a = self.blocks[block_to_move]
return np.array([a[0] - self.resolution, a[1] - self.resolution, a[2] - self.resolution, \
a[3] + self.resolution, a[4] + self.resolution, a[5] + self.resolution]), \
np.array([ori[0] - self.resolution, ori[1] - self.resolution, ori[2] - self.resolution, \
ori[3] + self.resolution, ori[4] + self.resolution, ori[5] + self.resolution])
# return a,ori
# (s',t') = (Rx, t)
def move_OBB(self, obb_to_move = 0, theta=[0,0,0], translation=[0,0,0]):
# theta stands for rotational angles around three principle axis in world frame
# translation stands for translation in the world frame
ori = [self.OBB[obb_to_move]]
self.OBB[obb_to_move].P = \
[self.OBB[obb_to_move].P[0] + translation[0],
self.OBB[obb_to_move].P[1] + translation[1],
self.OBB[obb_to_move].P[2] + translation[2]]
# Calculate orientation
self.OBB[obb_to_move].O = R_matrix(z_angle=theta[0],y_angle=theta[1],x_angle=theta[2])
# generating transformation matrix
self.OBB[obb_to_move].T = np.vstack([np.column_stack([self.OBB[obb_to_move].O.T,\
-self.OBB[obb_to_move].O.T@self.OBB[obb_to_move].P]),[translation[0],translation[1],translation[2],1]])
return self.OBB[obb_to_move], ori[0]
if __name__ == '__main__':
newenv = env()