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Main Authors: Maroufi, Daniyal, Rezayof, Omid, Alambeigi, Farshid
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.22633
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author Maroufi, Daniyal
Rezayof, Omid
Alambeigi, Farshid
author_facet Maroufi, Daniyal
Rezayof, Omid
Alambeigi, Farshid
contents The Python robotics ecosystem faces a challenge: while many libraries exist for rigid body transformations, few are both lightweight and mathematically strict. This paper introduces SE3Kit, a lightweight Python library efficient operations on the Special Euclidean Group SE(3) and the Special Orthogonal Group SO(3). Unlike established frameworks that require heavy dependencies (e.g., SpatialMath, PyPose) or general tools that lack robotics-specific features (e.g., SciPy), SE3Kit targets the gap between these extremes. It is designed for embedded deployment, rapid prototyping, and education while providing rigorous mathematical implementation. It provides a pure-Python, NumPy-only implementation of Lie Group operations, without the overhead of deep learning or other visualization software.
format Preprint
id arxiv_https___arxiv_org_abs_2605_22633
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle SE3Kit: A Lightweight Python Library for Specialized Geometric Primitives in Robotics
Maroufi, Daniyal
Rezayof, Omid
Alambeigi, Farshid
Robotics
The Python robotics ecosystem faces a challenge: while many libraries exist for rigid body transformations, few are both lightweight and mathematically strict. This paper introduces SE3Kit, a lightweight Python library efficient operations on the Special Euclidean Group SE(3) and the Special Orthogonal Group SO(3). Unlike established frameworks that require heavy dependencies (e.g., SpatialMath, PyPose) or general tools that lack robotics-specific features (e.g., SciPy), SE3Kit targets the gap between these extremes. It is designed for embedded deployment, rapid prototyping, and education while providing rigorous mathematical implementation. It provides a pure-Python, NumPy-only implementation of Lie Group operations, without the overhead of deep learning or other visualization software.
title SE3Kit: A Lightweight Python Library for Specialized Geometric Primitives in Robotics
topic Robotics
url https://arxiv.org/abs/2605.22633