Identification of State Depend dynamic models parameter of robotic systems
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Updated
Jun 5, 2024 - MATLAB
Identification of State Depend dynamic models parameter of robotic systems
GPU accelerated particle filter
Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
JuliaGrid is an easy-to-use power system simulation tool for researchers and educators provided as a Julia package.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Artificial Intelligence > Machine Learning > Deep Learning
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Implementation of several popular Kalman filter nonlinear variants intended for robotics systems and vehicle state estimation, including Extended Kalman Filter, Unscented Kalman Filter, Error State EKF, Invariant EKF, Square Root EKF, Cubature KF.
A Robust and Versatile Monocular Visual-Inertial State Estimator
State estimation, smoothing and parameter estimation using Kalman and particle filters.
A powerful 3-phase load flow solver, by Roseau Technologies
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
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