Alternatives and similar repositories for MEKF_MAME:

Users that are interested in MEKF_MAME are comparing it to the libraries listed below

• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆75Updated 6 months ago
• asbroad / model_based_shared_control
  Model-based shared control of human-machine systems
  ☆14Updated 6 years ago
• thaipduong / LieFVIN
  Code for paper "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"
  ☆25Updated last year
• cvxgrp / auto_ks
  Repository for "Fitting a Kalman Smoother to Data"
  ☆56Updated 11 months ago
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• simon-schaefer / mantrap
  Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
  ☆14Updated last year
• jnez71 / kalmaNN
  Extended Kalman filter for training neural-networks
  ☆85Updated 4 years ago
• mhmukadam / dgpmp2
  Differentiable Gaussian Process Motion Planning
  ☆47Updated 3 years ago
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆15Updated last month
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆79Updated last year
• Dynamic-Systems-and-GP / GPdyn
  Gaussian Process Model Dynamic System Identification Toolbox for Matlab
  ☆90Updated 7 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• jacobnzw / SSMToybox
  Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature
  ☆13Updated 3 years ago
• kowshikchills / LQR_python
  ☆26Updated 3 years ago
• fmeier / local_gaussian_regression
  ☆11Updated 7 years ago
• thaipduong / SE3HamDL
  Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
  ☆38Updated last year
• Woodenonez / DyObAv-MPCnWTA-Warehouse
  Dynamic obstacle avoidance for mobile robots by combining deep learning motion prediction and MPC trajectory generation.
  ☆18Updated 4 months ago
• makokal / socially_normative_navigation
  Socially normative mobile robot navigation
  ☆27Updated 8 years ago
• haozhg / oml
  AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
  ☆30Updated 2 years ago
• alexliniger / AdversarialRoadModel
  Discriminating kernel algorithm implementation and neural network approximation, as presented in "Safe Motion Planning for Autonomous Dri…
  ☆30Updated 4 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆52Updated 3 years ago
• nitishthatte / QuadrotorILQR
  iLQR for a 3D quadrotor model
  ☆16Updated last year
• mikdangana / lstm_ekf
  Adaptive Control System Using ML-Tunable Kalman Filters
  ☆13Updated 2 years ago
• Eric-Bradford / SDD-GP-MPC
  This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
  ☆50Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆49Updated 9 months ago
• aidanscannell / mogpe
  Mixtures of Gaussian Process Experts in GPflow/TensorFlow
  ☆11Updated 2 years ago
• soraxas / sbp-env
  Motion planning environment for Sampling-based Planners
  ☆30Updated last year