Trending repositories for topic model-predictive-control
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
A toolkit for testing control and planning algorithm for car racing.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
An example code for robust model predictive control using tube
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
A toolkit for testing control and planning algorithm for car racing.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
An example code for robust model predictive control using tube
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Reinforcement Learning with Model Predictive Control
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
An example code for robust model predictive control using tube
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
A toolkit for testing control and planning algorithm for car racing.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time an...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Reinforcement Learning with Model Predictive Control
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
A toolkit for testing control and planning algorithm for car racing.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
An example code for robust model predictive control using tube
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time an...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Reinforcement Learning with Model Predictive Control
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
An example code for robust model predictive control using tube
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
A toolkit for testing control and planning algorithm for car racing.
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
Nonconvex embedded optimization: code generation for fast real-time optimization
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Reinforcement Learning with Model Predictive Control
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
An open source model predictive control package for Julia.
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
A toolkit for testing control and planning algorithm for car racing.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
An example code for robust model predictive control using tube
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Reinforcement Learning with Model Predictive Control
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
An example code for robust model predictive control using tube
Nonconvex embedded optimization: code generation for fast real-time optimization
The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time an...
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, B...
Reinforcement Learning with Model Predictive Control
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pu...
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
This repository has the code for the nonlinear model predictive controller for target tracking problems with the use of Casadi framework and Matlab simulation environment. 🏎️ ✈️
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
A pseudo-spectral collocation based multi-phase Optimal control problem solver