suezere

aerostack2

Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

ros-tutorial-gazebo-simulation

ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins

vrpn_client_ros2

Ros2 package for transport vrpn data to ros2 topic

l4casadi

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

PowerVim

Make your vim more power and much easer. 最实用的vim配置🔥

6.8210-Final-Project-Lifting-Heavy-Objects-with-Teams-of-Quadrotors

aerial_gym_simulator

Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots

NeuroMHE

Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to render fast online adaptation to state-dependent noise. The neural network can be efficiently trained from the robot's trajectory tracking errors without the need for the ground truth data.

rosbag2_csv

Convert rosbag2 to csv file.

18337

18.337 - Parallel Computing and Scientific Machine Learning

robust-tube-mpc

An example code for robust model predictive control using tube

uav_simulator

Python - Gazebo Simulation Environment for a UAV with Geometric Control

airo_control_interface

All in one control interface for quadrotors in ROS.

quadrotor_mpc_acados

MPC implementation for quadrotors using acados

px4_ros_com

ROS2/ROS interface with PX4 through a Fast-RTPS bridge

rpg_quadrotor_control

Quadrotor control framework developed by the Robotics and Perception Group

robot-framework

learn-neovim-lua

Neovim 配置实战：从 0 到 1 打造自己的 IDE

drake

Model-based design and verification for robotics.

neuriss

Official Inplementation of L4DC paper: Compositional Neural Certificates for Networked Dynamical Systems

PythonRobotics

Python sample codes for robotics algorithms.

MPC-Implementation

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. 🏎️ ✈️

KoopmanMPC_for_flowcontrol

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

CasADi_MPC_MHE_Python

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

IMPACTOR

Impact-Aware Planning and Control for Aerial Robots with Suspended Payloads

data-driven-dynamics

Data Driven Dynamics Modeling for Aerial Vehicles

data_driven_MPC

robust-deepc

Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020

Data-Enabled-Predictive-Control-DeePC-implementation