The Operator Splitting QP Solver
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Updated
May 21, 2024 - C
The Operator Splitting QP Solver
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, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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 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 and quadratic-form receding-horizon configurations.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller
An example code for robust model predictive control using tube
A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)
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
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
A software pipeline using the Model Predictive Control method to drive a car around a virtual track.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
Nonconvex embedded optimization: code generation for fast real-time optimization
Autonomous control of an USV using 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)
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
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