Robotics Toolbox for Python

Robotics Toolbox for MATLAB

Rust numeric library with high performance and friendly syntax

Robot kinematics implemented in pytorch

A Tutorial on Manipulator Differential Kinematics

RPDC : This contains all my MATLAB codes for the Robotics, Planning, Dynamics and Control . The implementations model various kinds of manipulators and mobile robots for position control, trajectory planning and path planning problems.

For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Calculation of forward and inverse kinematics, Jacobian matrices, dynamic modeling, trajectory planning and geometric calibration for robotic manipulators

A differentiable physics engine and multibody dynamics library for control and robot learning.

A collection of gradient-domain light transport algorithms implemented with Mitsuba

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Weekly MATLAB exercises of the course "Robot Dynamics", ETH Zürich (Fall 2020).

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

Efficient forward- and reverse-mode sparse Jacobians using Jax

High Dimensional Numerical and Symbolic Calculus in R

Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018

ODE solver library in Rust

In this repository, the implementation of forward and inverse kinematics by redundancy resolution is presented for KUKA on linear axis 7-DOF robot. The Redundancy Resolution includes three methods, which are Jacobian-based (Damped Least Square and Weighted Pseudoinverse), Null Space, and Task Augmentation.