Reproducible SO(3)-equivariant Transformer experiments for robot manipulation policies
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Updated
Oct 27, 2026
Reproducible SO(3)-equivariant Transformer experiments for robot manipulation policies
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
GINIO: A Geometric SO(3)-Equivariant Interface for Neural Inertial Odometry (CoRL 2026). Lie-Neuron / Vector-Neuron / canonicalised equivariant IMU networks with a covariance interface, filters, checkpoints.
A five-lecture course building an SO(3)-equivariant neural network from first principles—rotation symmetry, irreducible representations, Clebsch–Gordan couplings. NumPy and SymPy only, no deep-learning framework. Notes, runnable notebooks and solutions, released weekly.
🧫 Demonstrates DEFONEOS LIVE DEMO - watch SOV3 + JEEVES work
Unit quaternion Hamiltonian algebra engine implementing 3D spatial attitude representation and Spherical Linear Interpolation (SLERP) on SO(3).
Unit quaternion Hamiltonian algebra engine implementing 3D spatial attitude representation and Spherical Linear Interpolation (SLERP) on SO(3).
Introduction to Modern Robotics
Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
Various Python utilities including loggers, SE(3) poses, colors, 2D bounding boxes, function decorators, Kalman filter, Plotly functions etc.
Real-time MPU6050 inertial sensing, SO(3) attitude estimation, and 3D motion visualization using Arduino Mega and Python.
A C++ Eigen-based maths library for robotics applications, including SO(3) and SE(3) transformations, screw motions, robot kinematics, and control laws. All the codes are successfully tested in ROS 2 humble.
Implementations of CV concepts related mostly to Single or Two view geometry
Lie groups and algebra with some quaternions
Lightweight C++ header-only template library for translation, rotation and homogeneous transformation. Requires C++17 or Later. No dependencies with other libraries and stl.
A Tutorial on Spatial Mathematics
Neural implicit reconstruction experiments for the Vector Neuron paper
Attitude and it's covariance estimation using raw gyroscope data
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