Metadata-Version: 2.1
Name: gym-fetch
Version: 0.2.1
Summary: A goal-conditioned multitask suite for the fetch robot
Home-page: https://github.com/geyang/gym-fetch
Author: Ge Yang<ge.ike.yang@gmail.com>
Author-email: ge.ike.yang@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Requires-Dist: cmx
Requires-Dist: numpy

Extended Taskset for the Fetch Robot
====================================

|PyPI version|

Installation
------------

you can do:

.. code-block:: bash

   pip install gym-fetch

Alternatively, you can clone this repo and install under development
mode:

::

   git clone <this repo>
   cd <this repo>
   pip install -e .

Environments
------------

We extend existing Fetch environments from gym, with 7 new manipulation
tasks. The ``gym.Fetch`` environment are much better engineered than the
sawyer environments that ``metaworld`` uses. They are faster to
initialize, and have a small (50 step) maximum episode length, making
these environments faster to train on.

   We might or might not need to extend the ``max_episode_steps`` on
   more complex tasks.

======== ======= ============ ========
Reach-v2 Push-v2 PickPlace-v2 Slide-v2
======== ======= ============ ========
\                             
======== ======= ============ ========

For Up-To-Date Environments
---------------------------

All documentations are maintained in the `https://github.com/geyang/gym_fetch/blob/master/specs <specs>`__ folder,
where each task set is one markdown file.

-  **original gym fetch tasks**:
   `https://github.com/geyang/gym_fetch/blob/master/specs/gym_fetch.md <https://github.com/geyang/gym_fetch/blob/master/specs/gym_fetch.md>`__
-  **``bin`` tasks**: `https://github.com/geyang/gym_fetch/blob/master/specs/bin.md <https://github.com/geyang/gym_fetch/blob/master/specs/bin.md>`__
-  **``bin_debug`` tasks**: `https://github.com/geyang/gym_fetch/blob/master/specs/bin_debug.md <https://github.com/geyang/gym_fetch/blob/master/specs/bin.md>`__
-  **``box`` tasks**: `https://github.com/geyang/gym_fetch/blob/master/specs/box.md <https://github.com/geyang/gym_fetch/blob/master/specs/box.md>`__
-  **``drawer`` tasks**: `https://github.com/geyang/gym_fetch/blob/master/specs/drawer.md <https://github.com/geyang/gym_fetch/blob/master/specs/drawer.md>`__

The multi-task environments are still under development. They are
located under

.. code-block:: bash

    fetch
    ├── tasksets
        ├── box_block.md
        ├── box_block.py

Primitive Single Task Environments
==================================

The tasks involve a single primitive action such as open/closing a box,
or a drawer. They do not additionally involve placing an object into the
opened drawer or box. We include bin picking and placing because the bin
does not require additional actions to open.

================== =================== =========== ============
Box-open-v0        Box-close-v0        Bin-pick-v0 Bin-place-v0
================== =================== =========== ============
\                                                  
**Drawer-open-v0** **Drawer-close-v0**             
\                                                  
================== =================== =========== ============

Intermediate Task
=================

These tasks additionally require placing the object inside an open
drawer or box. We include the ``Bin-picking`` environment for
completeness.

=============== ======
Name            Status
=============== ======
Bin-pick-v2     ✅ done
Bin-place-v2    ✅ done
Box-place-v2    ✅ done
Box-pick-v2     ✅ done
Drawer-place-v2 ✅ done
Drawer-pick-v2  ✅ done
=============== ======

================== =================== =========== ============
Bin-pick-v0        Bin-place-v0        Box-pick-v0 Box-place-v0
================== =================== =========== ============
\                                                  
**Drawer-pick-v0** **Drawer-place-v0**             
\                                                  
================== =================== =========== ============

Multi-task Environments
=======================

These environments require significantly more memory due to the
increasing complexity of contact detection and collision dynamics. These
are also slower to run.

=============== ======
Name            Render
=============== ======
BoxBin-v2       ✅ done
DrawerBin-v2    ✅ done
BoxBinDrawer-v2 ✅ done
=============== ======

========= ============ ===============
BoxBin-v0 DrawerBin-v0 BoxBinDrawer-v0
========= ============ ===============
\                      
========= ============ ===============

.. |PyPI version| image:: https://badge.fury.io/py/gym-fetch.svg
   :target: https://badge.fury.io/py/gym-fetch


