ROS interface for MuJoCo simulator

Tutorial on how to get started with MuJoCo Simulation Platform. MuJoCo stands for Multi-Joint dynamics with Contact. It was acquired and made freely available by DeepMind in October 2021, and open …

Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

An awesome README template to jumpstart your projects!

Model Predictive Control using acados and ROS.

This repo is for fun with nmpc using acados.

Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"

C++ wrapper to dynamically run C code generated by ACADOS

Economic tuning of tracking (N)MPC problems.

25 path-tracking algorithms are (goint to be) implemented with python.

Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles

Model Predictive Path Integral Control (MPPI) with PyTorch

Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, RPP, DWA, D…

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, …

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,…

Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch

Optimization-based real-time path planning for vehicles.

Optimization-based real-time path planning for vehicles.

Python sample codes for robotics algorithms.

Small, lightweight C++ library for handling OpenDRIVE files

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

iterative Linear Quadratic Regulator with constraints.

A modular and scalable simulation framework for ultra-rapid prototyping of self-adaptive, stochastic and robust Nonlinear Model Predictive Control for Autonomous Vehicle Motion Control

Learning based Model Prodictive Control for online iterative trajectory optimization for F1/10 autonomous racing.