Awesome

Andino is a fully open-source diff drive robot designed for educational purposes and low-cost applications. It is fully integrated with ROS 2 and it is a great base platform to improve skills over the robotics field. With its open-source design, anyone can modify and customize the robot to suit their specific needs.

Note: For videos go to Media section.

:books: Package Summary

• :rocket: andino_bringup: Contains mainly launch files in order to launch all related driver and nodes to be used in the real robot.
• :robot: andino_hardware: Contains information about the Andino assembly and hardware parts.
• :ledger: andino_description: Contains the URDF description of the robot.
• :hammer_and_pick: andino_firmware: Contains the code be run in the microcontroller for interfacing low level hardware with the SBC.
• :gear: andino_base: ROS Control hardware interface is implemented.
• :control_knobs: andino_control: It launches the controller_manager along with the ros2 controllers: diff_drive_controller and the joint_state_broadcaster.
• :computer: andino_gz_classic: Gazebo Classic simulation of the andino robot.
• :world_map: andino_slam: Provides support for SLAM with your andino robot.
• :compass: andino_navigation: Navigation stack based on nav2.
• :exclamation: andino_apps: Integrated applications with the andino robot.

:paperclips: Related projects

Other projects built upon Andino! :rocket:

• :computer: andino_gz: Gazebo(non-classic) simulation of the andino robot.
• :lady_beetle: andino_webots: Webots simulation of the Andino robot fully integrated with ROS 2.
• :joystick: andino_o3de: O3DE simulation of the Andino robot.
• :green_circle: andino_isaac: Isaac Sim simulation of the Andino robot.
• :robot: andino_rmf: OpenRMF integration of Andino simulation.
• :test_tube: andino_integration_tests: Extension to the Andino robot showing how to build integration tests.

:busts_in_silhouette: Community

<img src="docs/discord-mark-blue.png" width=30 hspace="20"/> Join our Discord and contribute to the community!

:pick: Robot Assembly

Visit andino_hardware for assembly instructions.

:mechanical_arm: Installation

Platforms

• ROS 2: Humble Hawksbill
• OS:
  • Ubuntu 22.04 Jammy Jellyfish
  • Ubuntu Mate 22.04 (On real robot (e.g: Raspberry Pi 4B))

Build from Source

Dependencies

1. Install ROS 2
2. Install colcon

colcon workspace

Packages here provided are colcon packages. As such a colcon workspace is expected:

1. Create colcon workspace

mkdir -p ~/ws/src

2. Clone this repository in the src folder

cd ~/ws/src

git clone https://github.com/Ekumen-OS/andino.git

3. Install dependencies via rosdep

cd ~/ws

rosdep install --from-paths src --ignore-src -i -y

4. Build the packages

colcon build

5. Finally, source the built packages If using bash:

source install/setup.bash

Note: Whether your are installing the packages in your dev machine or in your robot the procedure is the same.

Install the binaries

The packages have been also released via ROS package manager system for the 'humble' distro. You can check them here.

These packages can be installed using apt (e.g: sudo apt install ros-humble-andino-description) or using rosdep.

:rocket: Usage

Robot bringup

andino_bringup contains launch files that concentrates the process that brings up the robot.

After installing and sourcing the andino's packages simply run.

ros2 launch andino_bringup andino_robot.launch.py

This launch files initializes the differential drive controller and brings ups the system to interface with ROS. By default sensors like the camera and the lidar are initialized. This can be disabled via arguments and manage each initialization separately. See ros2 launch andino_bringup andino_robot.launch.py -s for checking out the arguments.

• include_rplidar: true as default.
• include_camera: true as default.

After the robot is launched, use ROS 2 CLI for inspecting environment. For example, by doing ros2 topic list the available topics can be displayed:

/camera_info
/cmd_vel
/image_raw
/odom
/robot_description
/scan
/tf
/tf_static

Note: Showing just some of them

Teleoperation

Launch files for using the keyboard or a joystick for teleoperating the robot are provided.

Keyboard

ros2 launch andino_bringup teleop_keyboard.launch.py

This is similarly to just executing ros2 run teleop_twist_keyboard teleop_twist_keyboard.

Joystick

Using a joystick for teleoperating is notably better. You need the joystick configured as explained here.

ros2 launch andino_bringup teleop_joystick.launch.py

RViz

Use:

ros2 launch andino_bringup rviz.launch.py

For starting rviz2 visualization with a provided configuration.

:compass: Navigation

The andino_navigation package provides a navigation stack based on the great Nav2 package.

https://github.com/Ekumen-OS/andino/assets/53065142/29951e74-e604-4a6e-80fc-421c0c6d8fee

Follow the andino_navigation's README instructions for bringing up the Navigation stack in the real robot or in the simulation.

:computer: Simulation

Within the Andino ecosystem simulations on several platforms are provided:

• andino_gz_classic - (To be deprecated as of Jazzy)
• andino_gz - Recommended
• andino_webots
• andino_o3de
• andino_isaac

:selfie: Media

RVIZ Visualization

https://github.com/Ekumen-OS/andino/assets/53065142/c9878894-1785-4b81-b1ce-80e07a27effd

Slam

Using the robot for mapping.

https://github.com/Ekumen-OS/andino/assets/53065142/283f4afd-0f9a-4d37-b71f-c9d7b2f3e453

https://github.com/Ekumen-OS/andino/assets/53065142/d73f6053-b422-4334-8f62-029a38799e66

See andino_slam for more information.

:robot: Share your Andino!

Have you built your Andino already? Please go to Show & Tell Discussion and share with us your own version of it.

:star2: Inspirational sources

This section is dedicated to recognizing and expressing gratitude to the open-source repositories that have served as a source of inspiration for this project. We highly recommend exploring these repositories for further inspiration and learning.

• articubot_one
• diffbot
• noah_hardware
• linorobot

:raised_hands: Contributing

Issues or PRs are always welcome! Please refer to CONTRIBUTING doc.

Code development

Note that a Docker folder is provided for easy setting up the workspace.