A list of resources for robotics and control systems engineering

Artificial Intelligence > Machine Learning > Deep Learning

A Robust and Versatile Monocular Visual-Inertial State Estimator

A collection of Kalman filter nonlinear variants for state estimation. Implementation of Extended Kalman filter, Unscented kalman filter, Error State EKF, Invariant EKF, Square Root EKF, Cubature UKF and more.

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

State estimation, smoothing and parameter estimation using Kalman and particle filters.

A powerful 3-phase load flow solver, by Roseau Technologies

JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

SERoW Framework for N Legged Robot Walking Estimation

Prior-based patch-level representation learning for electric vehicle battery state-of-charge estimation across a wide temperature scope

An open source model predictive control package for Julia.

State estimation of a Dubin's Car using Extended Kalman Filter

A bunch of state estimation algorithms

This repo contains the code of my Master's Thesis. Specifically, it consists in exploring different techniques(Explanable AI, Physics Informed NN, ...) to perform State Estimation

A state estimation package for Lie groups!

Second-order iterated smoothing algorithms for state estimation

Codac is a library for constraint programming over reals, trajectories and sets.

High-dimensional Kalman filter toolbox (HELMET)