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ROSMOD

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This repository contains the implementation of ROSMOD - Journal of Electronics, built on WebGME.

ROSMOD is a web-based, collaborative, modeling and execution environment for distributed embedded applications built using ROS.

Please see the WIKI for in-depth information about ROSMOD, how to use it, and links to various Youtube videos that walk through development and usage of ROSMOD.

Note: WebGME ROSMOD code generators have changed - they no longer generate for rosmod-comm, please see Setting up target systems to run ROSMOD to properly install the new dependencies.

Contents

  1. What is ROSMOD
    1. Motivation
    2. Implementation
    3. Features
  2. How to set up ROSMOD
    1. Setting up the ROSMOD server
      1. Required Dependencies
      2. Optional Dependencies
      3. Start the Server
    2. Setting up target systems to run ROSMOD
  3. How to use ROSMOD
    1. Creating a ROSMOD project
      1. Creating a WebGME project
      2. Creating a Single ROSMOD project
    2. Modeling the Software
    3. Modeling the Systems
    4. Creating a Deployment
    5. Creating an Experiment
      1. Running an Experiment
      2. Stopping a Running Experiment
  4. Keeping ROSMOD up to date

What is ROSMOD?

The Robot Operating System Model-driven development tool suite, (ROSMOD) an integrated development environment for rapid prototyping component-based software for the Robot Operating System (ROS) middleware.

ROSMOD consists of

  1. The ROSMOD Server (this repo), which provides collaborative model-driven development, and
  2. The ROSMOD Actor (github), which is a standardized ros::Node that provides a well defined component execution model which helps reduce the complexity of writing multi-threaded code.

Motivation

Robotics is a discipline that involves integration between heterogeneous fields such as electronics, mechanics, computer science, control theory and artificial intelligence. During the design, development and deployment of robotic systems, the components that belong to the various sub-systems, e.g., image processing software, servo-motors, power distribution system, etc., must work congruously to achieve a common goal. As systems increase in complexity, software development platforms must enable the creation of such components in a rapid, reliable, and reusable manner while also providing systems-level design, analysis, and deployment.

In other similar systems, users are often tasked with developing the models, generating the code, and then manually touching the generated code to implement the business logic for the various operations their system needs to perform (e.g. periodic or event-triggered functions). The injection and management of this user-developed code inside the generated code can increase the learning curve for new users as it adds some extra file management and build-system overhead. Additionally, almost all other similar projects require installation on the users' computers, which means they may need to troubleshoot setting up the IDE, the compiler, and any other required libraries (e.g. catkin, python, ssh, etc.) which will increase the time it takes to configure their system and increase the number of failure points in their configuration process (not to mention increasing the platform and version control support nightmare).

To combat these issues, we wanted ROSMOD to act as a lightweight (from the users' perspectives) IDE which does not require any installation, and can be run cross-platform since it only relies on a web-browser (even smartPhones can act as interfaces!). In this way, the development of robotics with ROSMOD is done in a decentralized, collaborative, automatically versioned development , with centralized management of the infrastructure (including any compatibility, package version management, and build / deployment infrastructure management).

Implementation

ROSMOD is implemented as a web-based graphical interface to a versioned, git-like database of models with integrated code. Along with this database exist server-side plugins which enable the generation, compilation, and deployment of executable code. This executable code is fully complete without the need for users to touch or even download the files. These plugins have accses to the file-system on the server, where the sys-admin for the ROSMOD webserver has already configured the build system and deployment infrastructure so that these plugins can automatically perform the compilation and deployment as requested by the users.

Features

  • Integrated support for run-time monitoring using ROS Bridge

  • Integrated support for run-time mission control / command and telemetry using NASA OpenMCT and ROSMCT

  • Integrated Hierarchical Finite State Machine (HFSM) Modeling, Simulation, and Code Generation

    See webgme-hfsm for documentation, walkthroughs, videos, etc.

    UML HFSM Modeling and Simulation

  • Collaborative, automatically versioned web-based development

    Project history view with branching and tagging

  • Model-based framework for developing hardware and software

    Graphical modeling

  • Fully integrated code development, with documentation generation

    Integrated code editing with syntax highlighting

  • Fully integrated code generation, compilation, and deployment

    Code generation and compilation

  • Interactive deployment visualization

    Interactive deployment visualization

  • Embeddable documentation at every level of the model

    Documentation supporting markdown rendering

  • Distributed debugging enabled by automatic trace logging and plotting of trace and user logs

    Automatic results logc parsing and plotting

  • Automatic load management of embedded targets

    I don't have a picture here because it's in the backend :)

How to set up ROSMOD

Setting up the ROSMOD Server

Required Dependencies

  1. Install Node.js LTS
    cd ~/Downloads
    wget https://nodejs.org/dist/v8.11.1/node-v8.11.1-linux-x64.tar.xz
    tar xvf node-v8.11.1-linux-x64.tar.xz
    sudo cp -r node-v8.11.1-linux-x64/{bin,include,lib} /usr/.
  2. Install Bower
    sudo npm install -g bower
  3. Install MongoDB
    sudo apt-get install mongodb
    
  4. Clone this repo
    git clone https://github.com/rosmod/webgme-rosmod
  5. Install dependencies
    cd webgme-rosmod
    npm install

Optional Dependencies

# for documentation generation
sudo apt-get install pandoc doxygen texlive-full

# for debugging
sudo apt-get install gdbserver gdb-multiarch valgrind

# add repo for rosbridge - this is copied from http://wiki.ros.org/kinetic/Installation/Ubuntu
sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
sudo apt-key adv --keyserver hkp://ha.pool.sks-keyservers.net:80 --recv-key 421C365BD9FF1F717815A3895523BAEEB01FA116
sudo apt-get update

# for connection to rosmct / rosbridge
sudo apt-get install ros-kinetic-rosbridge-suite

Start the server

npm start

NOTE: to make changes to the META or to view the META, you can run

npm run start-dev

which enables the META visualizer.

Setting up target systems to run ROSMOD

Note: If you want to be able to compile on the server, you will need to follow these steps for the server as well. Note: These steps have changed and no longer depend on rosmod-comm, please make sure to update your targets accordingly.

  1. Install ROS onto the target platform.

    NOTE: only ros-<version>-ros-base is required, but any install target works.

  2. Install ROSMOD-Actor onto the target platform. (Optionally) If you want to use Action Clients or Action Servers from actionlib, you will need to install our custom fork of actionlib from rosmod/actionlib. To install both, simply copy these commands below.

    # install both rosmod/actionlib and rosmod/rosmod-actor to /opt/rosmod
    mkdir -p ~/rosmod_ws/src
    cd ~/rosmod_ws
    catkin config --extend /opt/ros/kinetic
    catkin config -i /opt/rosmod
    catkin config --install
    git clone https://github.com/ros/common_msgs.git src/common_msgs
    git clone https://github.com/rosmod/actionlib src/actionlib
    git clone https://github.com/rosmod/rosmod-actor src/rosmod-actor
    catkin build
  3. Ensure the target has SSH capabilities; configure an ssh key that the ROSMOD server can use to remotely access the target device.

    NOTE: password-based authentication is not allowed for ROSMOD targets.

  4. (Optional) If you want to perform debugging - you should install valgrind and gdbserver on the target systems

    sudo apt-get install valgrind gdbserver

How to use ROSMOD

This section serves as a short guide for users who want to develop robotics with ROSMOD. A more complete guide into what each of the elements of a ROSMOD model is can be found in the Samples Seed, which contains some example projects for robots, autonomous cars, and automous planes, as well as a simple Introduction to ROSMOD sample which is fully documented (within the model using Documentation objects that render Markdown within the model. This sample is hosted on the live server listed at the top of this page, but can also be used as the base for any project created in any deployment of the server since it is part of this repository.

ROSMOD / WebGME interface

Creating a ROSMOD Project

In ROSMOD, there are two different types of Projects:

  1. A WebGME Project which can contain any number of ROSMOD Projects, and which is the granularity at which you can authenticate for user / organization RWD access.
  2. A ROSMOD Project, which is a self-contained model tree which describes the Software, Systems, Deployments, and Experiments.

Creating a WebGME project

To create a WebGME project, you open your web-browser (NOTE: Google Chrome is the fully-supported browser, YMMV with any other browser) and navigate to the web address of the ROSMOD server.

After you login (if authentication is enabled) you will be presented with the WebGME landing page, which will show you the available projects you have access to on the ROSMOD server, and will provide a Create New button in the bottom left of the modal dialog that allows you to create your own project. When creating a WebGME project, you can either use one of the ROSMOD seeds (base or samples) as the basis for your project or you can duplicate an existing project on the server (that you have access to). The seeds provide the meta-model that defines ROSMOD, and all projects made on the ROSMOD server start out with one of the two seeds as a base.

Creating a single ROSMOD Project

Having created a WebGME project, you will see the ROSMOD Project Root view, which shows all ROSMOD projects contained within the WebGME project. If you copied an empty WebGME project or used the base seed, then the page will be empty.

To create a ROSMOD project, you simply drag and drop the Project object from the left panel (the Part Browser) into the empty space, and a new ROSMOD Project will show up.

Note: single clicking within the project's space in the center panel will select the project within the Property Editor in the right panel which allows you to edit the Project attributes.

Note: to edit the Authors, Brief Description, or Detailed Description project attributes, you can double click on the text for those attributes within the center panel (the Visualizer) or you can single click on the attribute in the Property Editor in the right panel.

Note: to edit the icon the displays for the project, you should click the New Document icon that is on the far right side of the Icon attribute in the Property Editor in the right panel. This will bring up a file upload dialog where you should select the SVG Icon you wish to associate with this project.

Modeling the Software

Having created a ROSMOD project, double click on the project icon to open the project within the Visualizer, which will automatically switch to the Model Visualizer. With the project open in the Model visualizer, drag a Software object into the center panel, this Software object will be the root of the sub-tree that describes all of the software for this project.

Within the software object, you can create any number of ROS Packages, Source Libraries, and System Libraries.

Within a Package, you can define any number of ROS Messages and ROS Services, as well as any number of ROSMOD Components.

Within a Component, you can define any number of ROS Publishers, ROS Subscribers, ROS Clients, ROS Servers, and ROS Timers.

To edit the code defining any of these objects, click the CodeEditor visualizer, which will bring up the CodeEditor's code attribute tree on the left (in the active visualizer) and the code being edited on the right.

Modeling the Systems

Having created a ROSMOD project, double click on the project icon to open the project within the Visualizer, which will automatically switch to the Model Visualizer. With the project open in the Model visualizer, drag a Systems object into the center panel, this Systems object will be the root of the sub-tree that describes all of the systems for which this project has been developed.

Double click the Systems object to open it. Within this aspect, you can drag a System object to describe a single system. A System is a collection of Hosts connected by one or more Networks and a collection of Users which may have access to certain Hosts.

Creating a Deployment

Having created a ROSMOD project, double click on the project icon to open the project within the Visualizer, which will automatically switch to the Model Visualizer. With the project open in the Model visualizer, drag a Deployments object into the center panel, this Deployments object will be the root of the sub-tree that describes all of the deployment configurations for this project.

Double click on the Deployments object to open it. Within this aspect, you can drag a Deployment object to describe a single deployment. A Deployment is a collection of Component Instances which are colocated into Nodes ( POSIX processes ), which are themselves colocated into Containers. Containers are abstract representations of computing hardware.

Creating an Experiment

Having created a ROSMOD project, double click on the project icon to open the project within the Visualizer, which will automatically switch to the Model Visualizer. With the project open in the Model visualizer, drag an Experiments object into the center panel, this Experiments object will be the root of the sub-tree that contains all of the current experiments, past experiments, and their results for this project.

Double click on the Experiments object to open it. Within this aspect, you can drag an Experiment object to describe an experiment you wish to run. An experiment maps a Deployment to a System. To configure the experiment with the deployment you want to run and the system on which you wish to run it, you can drag from the Object Browser in the right panel a Deployment and a System (that must be within the same ROSMOD project onto the Experiment object you have created. The Experiment will turn green while your drag is over it, indicating the Experiment is a valid drop target for the object you are dragging. This will set the respective System or Deployment pointer within the Experiment object. To view (or set or clear) the value for these pointers, single click on the Experiment to select it within the Property Editor panel. With the Experiment active in the Property Editor, press the property editor's Pointers tab, which will show the pointers the object has.

NOTE: Never alter an object's base pointer!

Running an Experiment

To run an experiment, simply execute the RunExperiment plugin. The plugin will automatically check to ensure that the system pointed to by the experiment is running and has the available resources while also satisfying the constraints of the software.

If the experiment successfully deploys to the system, the plugin will update the model to show which containers from the deployment mapped to which hosts of the system.

Stopping a Running Experiment

If the experiment has a valid model mapping containers to hosts (which can only be created by running an experiment), then the StopExperiment plugin will stop the experiment's processes and copy the component and ROS logs back into the model as attributes of a time-stamped Results object.

Opening the Results object generated by the StopExperiment plugin will open the ResultsViz visualizer which will automatically plot the logs recovered from the experiment.

Keeping ROSMOD Up-to-Date

To keep ROSMOD up to date, you simply need to periodically stop the server, pull from the repository, update the npm packages, and then restart the server.

# 1. within the terminal that is running the server press ctrl+c to stop the server
^C
# 2. pull
git pull
# 3. update
npm update
# 4. restart
npm start