Trending repositories for topic 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
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...
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and 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
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...
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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
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
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
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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.
Example implementation for robust model predictive control using tube
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal 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...
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
A V2G Simulation Environment for large scale EV charging optimization
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...
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
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Example implementation for robust model predictive control using tube
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...
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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.
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
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Example implementation for robust model predictive control using tube
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
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.
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)
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
A V2G Simulation Environment for large scale EV charging optimization
Reinforcement Learning with Model Predictive Control
Constrained Differential Dynamic Programming Solver for Trajectory Optimization and Model Predictive Control
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
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...
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
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...
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
An open source model predictive control package for Julia.
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...
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Example implementation for robust model predictive control using tube
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot
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
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.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Example implementation 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.
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
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...
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...
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
Reinforcement Learning with Model 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...
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
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).
An open source playground energy storage environment to explore reinforcement learning and model predictive control.
Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
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
Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.