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Proyecto centrado en el desarrollo de un AUV sumergible, utilizando tecnologías avanzadas en robótica, control automático y visión por computadora. Desarrollado con ROS2 Humble, Gazebo Garden 7 y Rviz2, este proyecto representa un esfuerzo pionero en la simulación y operación de AUV

License: MIT License

Shell 0.24% C++ 49.29% Python 35.29% Lua 7.80% CMake 7.39%

auv_max's Introduction

AUV Max: Plataform for Submarine AUV

Introduction

This project focuses on the development of a submersible UAV, using advanced technologies in robotics, automatic control and computer vision. Developed with ROS2 Humble, Gazebo Garden 7 and Rviz2, this project represents a pioneering effort in the simulation and operation of underwater autonomous vehicles.

Project Structure

The project is divided into several packages, each focused on a specific functionality:

Package Description
auv_max Packages necessary for the correct functioning of the project
auv_max_bringup Launch files for the launch of Gazebo, Rviz and future physical implementations
auv_max_control_pos Position control using a PID to control linear X-Z and angular position Yaw-Pitch
auv_max_description URDF Files and Display Settings for Rviz
auv_max_gazebo AUV model and world for simulation in Gazebo
auv_max_graphics Graphic modules and visualizations for the AUV
auv_max_node Main node in charge of communication between Gazebo-Rviz-ROS
auv_max_sonar Algorithm commissioned to recognize obstacles underwater
auv_max_teleoperation Algorithm for AUV teleoperation through the use of the keyboard
auv_max_vision_opencv Computer vision implementation using OpenCV

Requirements

  • ROS2 Humble
  • Rviz2 (Installed directly with ROS2 Humble)
  • Gazebo Garden 7
  • OpenCV

Installation and configuration

Follow these steps to install and configure the project:

Installing dependencies

  1. Install ROS 2 Humble (Documentation: https://docs.ros.org/en/humble/Installation/Alternatives/Ubuntu-Development-Setup.html)

  2. Install Gazebo Garden 7 (Documentation: https://gazebosim.org/docs/garden/install_ubuntu)

  3. Install OpenCV (Documentation: https://docs.opencv.org/4.x/d7/d9f/tutorial_linux_install.html)

  4. Install additional dependencies

    sudo apt-get install ros-humble-xacro
    sudo apt-get install libncurses5-dev libncursesw5-dev
    sudo apt-get install ros-humble-ros-gzgarden*
    

Install the project

  1. Create a workspace:
    mkdir ~/ros2_ws && cd ~/ros2_ws && mkdir src  
    
  2. Clone the repository:
    cd src
    git clone https://github.com/iesusdavila/auv_max
    
  3. Navigate to the project directory and run:
    colcon build
    
  4. Set up the ROS environment:
    source /opt/ros/humble/setup.bash
    source install/setup.bash
    

Use

  • Execute commands so that Gazebo recognizes plugin and model: https://github.com/RAMEL-ESPOL/auv_max/blob/main/initial_run.bash
  • To launch the simulation in Gazebo: ros2 launch auv_max_bringup max_sim.launch.py
  • To activate GUI teleoperated control: ros2 run auv_max_teleoperation gui_teleop.py
  • To activate teleoperated control: ros2 run auv_max_teleoperation auv_teleop_keyboard

Development and Contributions

If you are interested in contributing to this project, consider the following:

  • Code Style: Follow the ROS2 and PEP8 conventions for Python.
  • Tests: Ensure that all new code is accompanied by unit tests.
  • Documentation: All new developments must be properly documented.

© 2023 AUV Max Project

auv_max's People

Contributors

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