Skip to content

An interface to BlackBoard (our "home-made" message passing and shared variables hub... somewhat equivalent to ROS) from python with a CLIPS interpreter embeded using pyCLIPS.

License

BioRoboticsUNAM/BBCLIPS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

48 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

BBCLIPS

An interface to BlackBoard (our "home-made" message passing and shared variables hub... somewhat equivalent to ROS) from python with a CLIPS interpreter embeded using pyCLIPS.

This software depends on the libraries pyRobotics, which is our python API to create modules that connect to the BlackBoard, and pyCLIPS. (We also have a C# and C++ APIs. Respectively Robotics and uRobotics libraries, also in BioRoboticsUNAM repository.)

These softwares are all part of the work developed at the Bio-Robotics Laboratory at UNAM, and are used in our service robots.

If someone should be interested in knowing more about any of these projects, you can contact me at adrianrc[dot]89[at]gmail[dot]com.

Documentation

In order to use this software, a python interpreter is needed (of course), as well as the pyCLIPS and pyRobotics libraries.

To install pyRobotics

Check the pyRobotics getting started documentation.

To install pyCLIPS

Go to the downloads site of pyCLIPS.

  • For WINDOWS: download the installer from the win32 package.

  • For LINUX:

    • For Debian distributions (such as Ubuntu):

      1. Enter to the Debian Packages folder and download the package to your corresponding architecture (32 or 64 bits)
      2. Execute the command:

      dpkg -i package-name-here.deb

      (You will probably need superuser permissions.)

    • For RedHat distributions (such as Fedora) (also to install from source):

      Following pyCLIPS instructions from the README file:

      1. Make sure you have the package python-dev installed.
      2. Download the .tar.gz file that contains the source code from the folder labeld pyclips.
      3. In your computer, create a folder called pyclips_src and put the compressed file there.
      4. Uncompress from console with the command: tar -xzvf compressed-name.tar.gz
      5. Change directory to the uncompressed folder. (cd pyclips)
      6. Execute the command: python setup.py build (This will download CLIPS source code)
      7. With superuser permissions execute the command python setup.py install
      8. You can now delete the folder pyclips_src and its contents if you want.

      WARNING: It seems it needs to load some environment variables for it to work, so in order to test the installation do this:

      1. Open a new terminal (this will load all necessary environment variables)
      2. Type in python and press Return to start an interactive session.
      3. Enter >>> import clips (it should not throw any error messages)
      4. Enter >>> clips.Assert('(test_fact)')

To use the tool

  • Executing the command python GUI.py will open a GUI to use CLIPS, without connecting or doing anything related to BlackBoard.
  • Executing the command python BBCLIPS.py will connect to BlackBoard and then open the GUI.
  • The GUI can read two kinds of files: *.clp and either *.lst or *.dat which should have the same content independently of the extension. *.clp files are clips files that contain CLIPS constructs. *.lst and *.dat files should contain a list of relative paths (relative to that file's location) to other *.clp, *.lst or *.dat files and loads them recursively.
  • The program already comes with useful functions and rules to handle communication with BlackBoard. Check out the files inside the CLIPS folder in this project to know how to use them. To know more about BlackBoard and pyRobotics, check out the pyRobotics documentation
  • I think the GUI is pretty straight forward for someone who knows how to use the CLIPS interpreter, if there's something not clear enough (or you would like to give some other kind of feedback), please contact me.

Additional remarks

This software should be ready to use, however if someone would like to use another python function to call from CLIPS, besides coding the actual function, it should register it to the clips interpreter in the Initialize function in the BBCLIPS.py module.

LICENSE

This software is distributed under the MIT License.

About

An interface to BlackBoard (our "home-made" message passing and shared variables hub... somewhat equivalent to ROS) from python with a CLIPS interpreter embeded using pyCLIPS.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published