Trending repositories for topic model-predictive-control
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
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：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Reinforcement Learning with Model 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
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
An open source model predictive control package for Julia.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
A V2G Simulation Environment for large scale EV charging optimization
Reinforcement Learning with Model Predictive Control
An open source model predictive control package for Julia.
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
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
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...
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
Reinforcement Learning with Model Predictive Control
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
An open source model predictive control package for Julia.
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
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
Example implementation for robust model predictive control using tube
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
An open source model predictive control package for Julia.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Reinforcement Learning with Model Predictive Control
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
A V2G Simulation Environment for large scale EV charging optimization
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
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...
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
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
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Example implementation for robust model predictive control using tube
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
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
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
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.
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
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Example implementation for robust model predictive control using tube
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
An open source model predictive control package for Julia.
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
Cooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight time and attack angle constraints. It includes an efficient attack framework for rea...
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
A V2G Simulation Environment for large scale EV charging optimization
Reinforcement Learning with Model Predictive Control
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
An open source model predictive control package for Julia.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
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
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...
Differential Dynamic Programming (DDP) with automatic symbolic differentiation
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
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. 🏎️ ✈️
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Cooperative Attack Algorithm for UAVs is focusing on the cooperative attack problem of UAV swarm system with flight time and attack angle constraints. It includes an efficient attack framework for rea...
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1...
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
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
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
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.
Example implementation for robust model predictive control using tube
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
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...
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
Motion planning and Navigation of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP...
Reinforcement Learning with Model Predictive Control
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
An open source model predictive control package for Julia.
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.
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
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. 🏎️ ✈️