The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
-
Updated
Nov 9, 2022 - C++
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Implementation of the real-time MPC based on iLQR in Carla simulator
iterative Linear Quadratic Regulator with constraints.
GPU-friendly, auto-differentiable LQR solver with JAX.
iterative Linear Quadratic Regulator practice
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
Iterative LQG for a couple of MuJoCo models
A toolbox for trajectory optimization of dynamical systems
Code supporting the WAFR paper "A Performance Analysis of Differential Dynamic Programming on a GPU," and the ICRA workshop follow on work deploying the algorithm onto robot hardware.
A Julia package for constrained iterative LQR (iLQR)
Autonomous racing using ILQR and JAX.
ILQR (Iterative Linear Quadratic Regulator)
Model-based Policy Gradients
SIA - C++/Python library for model-based stochastic estimation and optimal control
Trajectory planning library
Nav2 controller plugin utilizing Frenet Frames and ILQR
An implementation of model-predictive control algorithms using TensorFlow 2
Add a description, image, and links to the ilqr topic page so that developers can more easily learn about it.
To associate your repository with the ilqr topic, visit your repo's landing page and select "manage topics."