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UNSW MTRN4230 Group 6 Project

MTRN4230 Group Project source code for a Gazebo-simulated pick-and-place robot.

Demo

Video

Project Structure

  • /config - UR5 Controller Manager Config Files
  • /include - C++ header files (mostly for plugins)
  • /launch - Launch Files to run the application
  • /models - Gazebo Models (.urdf, .sdf, .xacro, etc)
  • /msg - Custom Messages for Publishers & Subscribers
  • /src - ROS Nodes, plugin scripts, test scripts, utility functions
  • /srv - Custom Service request / response definitions
  • /web - React-based Web GUI
  • /world - Gazebo World Files

Installation & Setup

There are 2 methods to setup and run the project.

1. Docker (requires NVIDIA GPU)

  1. Setting Up

    1.1. Install docker and docker-compose

    1.2. Install NVIDIA Container Toolkit to allow docker containers to use your host GPU

    1.3. Install xhost for your system to enable GUIs for docker containers

    1.4. Configure Docker Daemon to use GPU (workaround for docker-compose)

  2. Run Environment

Run the run.sh script:

./run.sh

If configured properly, the Gazebo Simulation environment will spawn. You can visit http://localhost:3000 to connect the Web GUI that monitors and controls the Gazebo environment and orders (see linked video for more info).

2. Manual (Requires Ubuntu 16.04 w/ ROS Kinetic)

  1. Setting Up

    1.1. Install ROS Kinetic (for future steps, I will be assuming ros-kinetic-ros-base was installed)

    1.2. Install Gazebo7 simulator

    1.3. Install project ROS dependencies:

    sudo apt-get update && apt-get install \
        ros-kinetic-gazebo-msgs \
        ros-kinetic-gazebo-plugins \
        ros-kinetic-gazebo-ros \
        ros-kinetic-gazebo-ros-control \
        ros-kinetic-image-transport-plugins \
        ros-kinetic-controller-manager \
        ros-kinetic-eigen-conversions \
        ros-kinetic-xacro \
        ros-kinetic-rosbridge-server \
        ros-kinetic-robot-state-publisher \
        ros-kinetic-joint-state-controller \
        ros-kinetic-joint-trajectory-controller \

    1.4. Install npm (or Yarn) to launch the Web GUI

    curl -sL https://deb.nodesource.com/setup_14.x | sudo -E bash -
    sudo apt-get install -y nodejs

    1.5. Download the Github code into ROS Workspace

    cd ~/catkin_ws/src && git clone git@github.com:JimmeeX/ur5_t2_4230.git
  2. Build Environment

    2.1. Enable ROS Commands & Access to Packages (Protip: Add this to ~/.bashrc)

    source ~/catkin_ws/devel/setup.bash

    2.2. If you are using a virtual environment, disable GPU config for Gazebo (prevent Gazebo from crashing) (Protip: Add this to ~/.bashrc).

    export SVGA_VGPU10=0

    2.3. Build Environment

    cd ~/catkin_ws && catkin_make

    2.5. Update npm packages for Web GUI

    cd ~/catkin_ws/src/ur5_t2_4230/web
    npm install
  3. Run

    3.1. Launch Gazebo Simulation Environment

    roslaunch ur5_t2_4230 ur5_world.launch

    3.2. Launch Web GUI (accessible via http://localhost:3000)

    cd ~/simulation_ws/src/ur5_t2_4230/web/roswebcontroller
    npm start

Inspirations