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More information can be found in the individual scripts (.py).Supported on the following operating systems
Windows, Linux, macOSAn open-source library for collision detection of bounding boxes (AABB, OBB), useful for robotic applications such as path planning, inverse kinematics, and so on. The library provides access to specific classes for working with both types of bounding boxes: Axis-aligned Bounding Boxes (AABB) and Oriented Bounding Boxes (OBB). The specific classes focus on solving problems related to shape intersections, point tests, and last but not least, line intersections. Each of these problems is solved primarily in 3D space.
Path: ..\Collision_Detection\src\Collider\Core.pyIn particular, the library focuses on solving the path planning problem and the self-collision problem in kinematics (inverse, forward). But, as an open-source library, it can be used for other tasks, as creativity knows no limits.
For the initialization of primitives such as point, box, and line segment, see the following script.
Path: ..\Collision_Detection\src\Primitives\Core.pyThe repository also contains a transformation library with the necessary project-related functions. See link below.
The library can be used within the Robot Operating System (ROS), Blender, PyBullet, Nvidia Isaac, or any program that allows Python as a programming language.
A description of how to run a program to evaluate an algorithm to check whether two 3D primitives overlap (intersect) or not.
- Open Overlap.blend from the Blender folder.
- Copy and paste the script from the evaluation folder (../overlap_boxes.py).
- Run it and evaluate the results.
$ /> cd Documents/GitHub/Collision_Detection/Blender/Collision_Detection
$ ../Collision_Detection/Blender> blender Overlap.blend
A simple program that describes how to work with the library can be found below. The whole program is in the evaluation folder, as I mentioned in the text at the top.
# System (Default)
import sys
# Custom Lib.:
# ../Blender/Utilities
import Blender.Utilities
# ../Collider/Core
import Collider.Core as Collider
# ../Primitives/Core
import Primitives.Core as Primitives
# ../Transformation/Core
from Transformation.Core import Homogeneous_Transformation_Matrix_Cls as HTM_Cls
"""
Description:
Initialization of constants.
"""
# Properties of the Axis-aligned Bounding Boxes (AABBs) or Oriented Bounding
# Boxes (OBBs):
# Scale of the Boxes.
CONST_BOX_SCALES = [[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]
# Name of the Boxes.
# Note: The name of the string is important because the keyword "AABB.." or "OBB.." is
# used to decide which algorithm to use.
CONST_BOX_NAMES = ['AABB_ID_0', 'AABB_ID_1']
def main():
"""
Description:
A program to evaluate an algorithm to check if a line segment intersects with 3D primitive object.
The 3D primitive object in our case can be:
1\ Axis-aligned Bounding Box (AABB)
2\ Oriented Bounding Box (OBB)
"""
Box_Cls = [None, None]
for i, (box_name_i, box_scale_i) in enumerate(zip(CONST_BOX_NAMES, CONST_BOX_SCALES)):
# Create a specific class to work with a box.
Primitive_Cls = Primitives.Box_Cls([0.0, 0.0, 0.0], box_scale_i)
# Create a specific class to work with an aligned box (AABB or OBB). The selection of algorithm depends on the keyword "CONST_BOX_NAME".
Box_Cls[i] = Collider.OBB_Cls(Primitive_Cls) if 'OBB' in box_name_i else (Collider.AABB_Cls(Primitive_Cls)
if 'AABB' in box_name_i else None)
# Transform the box according to the input homogeneous transformation matrix.
Box_Cls[i].Transformation(HTM_Cls(bpy.data.objects[box_name_i].matrix_basis, np.float32))
# Check if two 3D primitives overlap (intersect) or not.
print(Box_Cls[0].Overlap(Box_Cls[1]))
if __name__ == '__main__':
sys.exit(main())A description of how to run a program to evaluate an algorithm to determine if a given point is inside a geometric object.
- Open Point_Inside.blend from the Blender folder.
- Copy and paste the script from the evaluation folder (../point_inside_box.py).
- Run it and evaluate the results.
$ /> cd Documents/GitHub/Collision_Detection/Blender/Collision_Detection
$ ../Collision_Detection/Blender> blender Point_Inside.blend
A simple program that describes how to work with the library can be found below. The whole program is in the evaluation folder, as I mentioned in the text at the top.
# System (Default)
import sys
# Custom Lib.:
# ../Blender/Utilities
import Blender.Utilities
# ../Collider/Core
import Collider.Core as Collider
# ../Primitives/Core
import Primitives.Core as Primitives
# ../Transformation/Core
from Transformation.Core import Homogeneous_Transformation_Matrix_Cls as HTM_Cls
"""
Description:
Initialization of constants.
"""
# Properties of the Axis-aligned Bounding Box (AABB) or Oriented Bounding
# Box (OBB):
# Scale of the Box.
CONST_BOX_SCALE = [0.5, 0.5, 0.5]
# Name of the Box.
# Note: The name of the string is important because the keyword "AABB.." or "OBB.." is
# used to decide which algorithm to use.
CONST_BOX_NAME = 'AABB_ID_0'
# Properties of the generated points:
# Position offset for random point generation.
CONST_OFFSET_RANDOM_POINTS = 0.25
# Number of points to be generated.
CONST_NUM_OF_RANDOM_POINTS = 1
def main():
"""
Description:
A program to evaluate an algorithm to determine if a given point is inside a geometric object.
The geometric object in our case can be:
1\ Axis-aligned Bounding Box (AABB)
2\ Oriented Bounding Box (OBB)
"""
# Create a specific class to work with a box.
Primitive_Cls = Primitives.Box_Cls([0.0,0.0,0.0], CONST_BOX_SCALE)
# Create a specific class to work with an aligned box (AABB or OBB). The selection of algorithm depends on the keyword "CONST_BOX_NAME".
Box_Cls = Collider.OBB_Cls(Primitive_Cls) if 'OBB' in CONST_BOX_NAME else (Collider.AABB_Cls(Primitive_Cls)
if 'AABB' in CONST_BOX_NAME else None)
# Transform the box according to the input homogeneous transformation matrix.
Box_Cls.Transformation(HTM_Cls(bpy.data.objects[CONST_BOX_NAME].matrix_basis, np.float32))
# reate a specific class to work with a point.
Point_Cls_id_0 = Primitives.Point_Cls([0.0,0.0,0.0])
# Generate random points in the scene with additional dependencies.
rnd_p = np.zeros(Primitives.CONST_DIMENSION, dtype = np.float32)
for i in range(CONST_NUM_OF_RANDOM_POINTS):
for j, (box_size_i, box_p_i) in enumerate(zip(Box_Cls.Size, Box_Cls.T.p)):
rnd_p[j] = np.random.uniform((-1)*(np.abs(box_size_i/2.0) + CONST_OFFSET_RANDOM_POINTS),
np.abs(box_size_i/2.0) + CONST_OFFSET_RANDOM_POINTS) + box_p_i
# Transformation of point position in X, Y, Z axes.
Point_Cls_id_0.Transformation(rnd_p)
# Determine if a given point is located inside a geometric object.
print(Box_Cls.Is_Point_Inside(Point_Cls_id_0))
if __name__ == '__main__':
sys.exit(main())A description of how to run a program to check if a line segment intersects with 3D primitive object.
- Open Raycast.blend from the Blender folder.
- Copy and paste the script from the evaluation folder (../raycast_box.py).
- Run it and evaluate the results.
$ /> cd Documents/GitHub/Collision_Detection/Blender/Collision_Detection
$ ../Collision_Detection/Blender> blender Raycast.blend
A simple program that describes how to work with the library can be found below. The whole program is in the evaluation folder, as I mentioned in the text at the top.
# System (Default)
import sys
# Custom Lib.:
# ../Blender/Utilities
import Blender.Utilities
# ../Collider/Core
import Collider.Core as Collider
# ../Primitives/Core
import Primitives.Core as Primitives
# ../Transformation/Core
from Transformation.Core import Homogeneous_Transformation_Matrix_Cls as HTM_Cls
"""
Description:
Initialization of constants.
"""
# Properties of the Axis-aligned Bounding Box (AABB) or Oriented Bounding
# Box (OBB):
# Scale of the Box.
CONST_BOX_SCALE = [0.5, 0.5, 0.5]
# Name of the Box.
# Note: The name of the string is important because the keyword "AABB.." or "OBB.." is
# used to decide which algorithm to use.
CONST_BOX_NAME = 'AABB_ID_0'
# Properties of the line segment:
# Initial position of the points of the line segment a, b.
CONST_LINE_SEGMENT = [[0.0, -1.0, 0.0], [0.0, 1.0, 0.0]]
def main():
"""
Description:
A program to evaluate an algorithm to check if a line segment intersects with 3D primitive object.
The 3D primitive object in our case can be:
1\ Axis-aligned Bounding Box (AABB)
2\ Oriented Bounding Box (OBB)
"""
# Create a specific class to work with a box.
Primitive_Cls = Primitives.Box_Cls([0.0,0.0,0.0], CONST_BOX_SCALE)
# Create a specific class to work with an aligned box (AABB or OBB). The selection of algorithm depends on the keyword "CONST_BOX_NAME".
Box_Cls = Collider.OBB_Cls(Primitive_Cls) if 'OBB' in CONST_BOX_NAME else (Collider.AABB_Cls(Primitive_Cls)
if 'AABB' in CONST_BOX_NAME else None)
# Transform the box according to the input homogeneous transformation matrix.
Box_Cls.Transformation(HTM_Cls(bpy.data.objects[CONST_BOX_NAME].matrix_basis, np.float32))
# Check if a line segment intersects with 3D primitive object (AABB or OBB). The function also contains information about
# where the line segment intersects the box.
(is_intersection, points) = Box_Cls.Raycast(Line_Segment_Cls_id_0)
if is_intersection == True:
print(True)
else:
print(False)
if __name__ == '__main__':
sys.exit(main())
@misc{RomanParak_CollisionDetection,
author = {Roman Parak},
title = {An open-source collision detection library useful for robotics applications},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/rparak/Parametric_Curves}}
}