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    "info": {
        "author": "Christoph Suerig, Sebastian Brunner",
        "author_email": "christoph.suerig@dlr.de, sebastian.brunner@dlr.de",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: X11 Applications :: GTK",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: Unix",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development",
            "Topic :: Utilities"
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        "description": "# RAFCON Task Planner Plugin\n\n![RAFCON Task Planner Plugin](https://dlr-rm.github.io/rafcon-task-planner-plugin/assets/images/RafconTPPMain.png \"An Overview on the plugin.\")\n\n## Overview\nThe RAFCON Task Planner Plugin is a [RAFCON](https://github.com/DLR-RM/RAFCON) plugin to interface arbitrary pddl planner such as the [Fast Downward Planning System](http://www.fast-downward.org/).  \nIt's purpose is to use such planners to plan a predefined scenario, and generate a RAFCON state machine out of the found plan. \nTo achieve this, the plugin extends RAFCON, so that a state's semantic can be expressed via a pddl action. Subsequently, a set of such pddl annotated states can be used to auto-generate a domain file, find a plan for a handwritten problem and generate a state machine based on the solution.  \nOne important aspect is that the Task Planner Plugin is able to interface abritrary planner. So new planners can be quickly integrated using a python script. This mechanism was for example used to successfully integrate the [Fast Downward](http://www.fast-downward.org/), as well as the [Fast-Forward](https://fai.cs.uni-saarland.de/hoffmann/ff.html) Planning System.\n\n![Pddl Action tab, to annotate a State with an action.](docs/img/rtpp_Action_tab.png \"Pddl Annotation\")\n\n## Installation\nCurrently the plugin is available on GitHub and PyPi. Information about how to obtain and install it from one of these platforms, is available at the homepage's [Getting Started Section](https://dlr-rm.github.io/rafcon-task-planner-plugin/pages/documentation/GettingStarted.html). \n\n## Plugin Homepage\nDocumentation as well as some tutorials are available at the [Plugin's Homepage](https://dlr-rm.github.io/rafcon-task-planner-plugin/).",
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        "name": "rafcon-task-planner-plugin",
        "package_url": "https://pypi.org/project/rafcon-task-planner-plugin/",
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        "summary": "The RAFCON Task Planner Plugin (RTPP) is a plugin to interface arbitrary pddl planner and automate the state machine generation process.",
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