Howard's starred repositories
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
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.
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
learn-neovim-lua
Neovim 配置实战:从 0 到 1 打造自己的 IDE
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
data-driven-dynamics
Data Driven Dynamics Modeling for Aerial Vehicles
robust-deepc
Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020