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SE3kit

Documentation Status License Python 3.9+

SE3kit is a lightweight Python library designed for 3D rigid-body transformations and rotations. It provides intuitive wrappers for homogeneous transformations, rotation representations (matrices, Euler angles, quaternions), and geometric primitives.

Note

This library includes optional ROS compatibility, automatically detecting and converting to/from ROS 1 or ROS 2 geometry messages if available.


🚀 Features

  • Rigid Body Transformations: Easy-to-use 4x4 homogenous transformation matrices (Transformation).
  • Rotations: Comprehensive 3x3 rotation matrix support with conversions to/from Euler angles, Quaternions, and Axis-Angles (Rotation).
  • Translations: Vector arithmetic and unit management (Translation).
  • Homogeneous Points: 4D point representation for SE(3) operations (HPoint).
  • ROS Integration: Seamless conversion between SE3kit objects and ROS geometry_msgs.

📦 Installation

This library is pure Python with minimal dependencies (numpy, numpy-quaternion).

From PyPI (Recommended)

To install the latest stable version from PyPI:

pip install se3kit

From Source

To install the library in editable mode from source:

git clone https://github.com/daniyalmaroufi/se3kit.git
cd se3kit
pip install -e .

For Development

For contributors, install the development dependencies (testing, linting, docs):

pip install -e '.[dev]'
pre-commit install

📚 Documentation

Full API documentation is available at: 👉 https://daniyalmaroufi.github.io/se3kit/

🛠 Usage

Rigid Body Transformations

Create and compose transformations intuitively:

import se3kit as se3

# Create a transformation: 1 meter up in Z, identity rotation
t1 = se3.Transformation(se3.Translation([0, 0, 1]), se3.Rotation())

# Compose transformations
t2 = se3.Transformation(
    se3.Translation([0.5, 0, 0]),
    se3.Rotation.from_rpy([0, 0, 1.57])  # Rotate 90° around Z
)

t_combined = t1 * t2

3D Point Transformation

Transform homogeneous points efficiently:

import se3kit as se3

p = se3.HPoint(0.1, 0.5, 0.0)
p_transformed = t_combined.transform_hpoint(p)

print(p_transformed.xyz)   # Access as standard 3D vector

Homogeneous Point (HPoint) Representation

Store and manipulate 3D points in either Cartesian or Full Homogeneous Form

import se3kit as se3
import numpy as np

# Cartesian coordinates
p1 = se3.HPoint(0.2, 0.4, 0.1)

# From NumPy array
p2 = se3.HPoint(np.array([1.0, 2.0, 3.0]))

# From full homogeneous vector
p3 = se3.HPoint(np.array([0.5, 0.0, 1.0, 1.0]))

print(p1.xyz)          # [0.2, 0.4, 0.1]
print(p2.as_array())   # Full 4×1 homogeneous vector

Transform a Homogeneous Point (HPoint)

Transform points attached to a robot’s tool through the end-effector pose.

import se3kit as se3

# A tool point on the robot’s end effector
tool_point = se3.HPoint(0.1, 0.0, 0.0)

# End-effector pose in world frame
T_world_ee = se3.Transformation(
    se3.Translation([0.5, 0.2, 1.0]),
    se3.Rotation.from_rpy([0, 0, 1.57])
)

p_world = T_world_ee.transform_hpoint(tool_point)
print(p_world.xyz)

Kinematic Chain Representation

Compose multiple transformations to represent an entire robot arm’s kinematic chain.

import se3kit as se3

# Example arm links
T1 = se3.Transformation(se3.Translation([0, 0, 0.4]), se3.Rotation.from_rpy([0, 0, 0.5]))
T2 = se3.Transformation(se3.Translation([0, 0, 0.3]), se3.Rotation.from_rpy([0, 0.2, 0]))
T3 = se3.Transformation(se3.Translation([0.1, 0, 0]), se3.Rotation.from_rpy([0.1, 0, 0]))

T_end_effector = T1 * T2 * T3

print(T_end_effector.as_geometry_pose())

Scaling and Unit Conversions

Seamlessly convert between millimeters and meters for transformations.

import se3kit as se3

T_mm = se3.Transformation.convert_m_to_mm(T_end_effector)
T_m  = se3.Transformation.convert_mm_to_m(T_mm)

print(T_mm.translation.xyz)

🤝 Contributing

We welcome contributions! Please follow these steps to ensure a smooth workflow:

  1. Install Hooks: Run pre-commit install to set up linting hooks.
  2. Test Locally: Run python -m unittest discover -v to ensure all tests pass.
  3. Lint: Code is automatically formatted with black and ruff on commit.

📄 License

Distributed under the Apache 2.0 License. See LICENSE for more information.

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A lightweight Python library for 3D rigid-body transformations

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