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README.md

@@ -1,39 +1,3 @@
----
-license: gpl-3.0
-pipeline_tag: robotics
----
-
-![](doc/img/logo/logo8.png)
-
-# Rofunc: The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
-
-[![Release](https://img.shields.io/github/v/release/Skylark0924/Rofunc)](https://pypi.org/project/rofunc/)![License](https://img.shields.io/github/license/Skylark0924/Rofunc?color=blue)![](https://img.shields.io/github/downloads/skylark0924/Rofunc/total)
-[![](https://img.shields.io/github/issues-closed-raw/Skylark0924/Rofunc?color=brightgreen)](https://github.com/Skylark0924/Rofunc/issues?q=is%3Aissue+is%3Aclosed)
-[![](https://img.shields.io/github/issues-raw/Skylark0924/Rofunc?color=orange)](https://github.com/Skylark0924/Rofunc/issues?q=is%3Aopen+is%3Aissue)
-[![Documentation Status](https://readthedocs.org/projects/rofunc/badge/?version=latest)](https://rofunc.readthedocs.io/en/latest/?badge=latest)
-[![Build Status](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2FSkylark0924%2FRofunc%2Fbadge%3Fref%3Dmain&style=flat)](https://actions-badge.atrox.dev/Skylark0924/Rofunc/goto?ref=main)
-
-**Repository address: https://github.com/Skylark0924/Rofunc** <br>
-**Documentation: https://rofunc.readthedocs.io/**
-
-
-<img src="doc/img/task_gif/CURIQbSoftHandSynergyGraspSpatulaRofuncRLPPO.gif" width=25% /><img src="doc/img/task_gif/CURIQbSoftHandSynergyGraspPower_drillRofuncRLPPO.gif" width=25% /><img src="doc/img/task_gif/CURIQbSoftHandSynergyGraspPhillips_Screw_DriverRofuncRLPPO.gif" width=25% /><img src="doc/img/task_gif/CURIQbSoftHandSynergyGraspLarge_clampRofuncRLPPO.gif" width=25% />
-<img src="doc/img/task_gif/CURICoffeeStirring.gif" width=33.3% /><img src="doc/img/task_gif/CURIScrew.gif" width=33.3% /><img src="doc/img/task_gif/CURITaichiPushingHand.gif" width=33.3% />
-<img src="doc/img/task_gif/UDH_Random_Motion.gif" width=25% /><img src="doc/img/task_gif/H1_Random_Motion.gif" width=25% /><img src="doc/img/task_gif/Bruce_Random_Motion.gif" width=25% /><img src="doc/img/task_gif/Walker_Random_Motion.gif" width=25% />
-<img src="doc/img/task_gif/HumanoidFlipRofuncRLAMP.gif" width=33.3% /><img src="doc/img/task_gif/HumanoidDanceRofuncRLAMP.gif" width=33.3% /><img src="doc/img/task_gif/HumanoidRunRofuncRLAMP.gif" width=33.3% />
-<img src="doc/img/task_gif/HumanoidASEHeadingSwordShieldRofuncRLASE.gif" width=33.3% /><img src="doc/img/task_gif/HumanoidASEStrikeSwordShieldRofuncRLASE.gif" width=33.3% /><img src="doc/img/task_gif/HumanoidASELocationSwordShieldRofuncRLASE.gif" width=33.3% />
-<img src="doc/img/task_gif/BiShadowHandLiftUnderarmRofuncRLPPO.gif" width=33.3% /><img src="doc/img/task_gif/BiShadowHandDoorOpenOutwardRofuncRLPPO.gif" width=33.3% /><img src="doc/img/task_gif/BiShadowHandSwingCupRofuncRLPPO.gif" width=33.3% />
-
-
-
-
-
-
-
-Rofunc package focuses on the **Imitation Learning (IL), Reinforcement Learning (RL) and Learning from Demonstration (LfD)** for **(Humanoid) Robot Manipulation**. It provides valuable and convenient python functions, including
-_demonstration collection, data pre-processing, LfD algorithms, planning, and control methods_. We also provide an
-`IsaacGym` and `OmniIsaacGym` based robot simulator for evaluation. This package aims to advance the field by building a full-process
-toolkit and validation platform that simplifies and standardizes the process of demonstration data collection,
-processing, learning, and its deployment on robots.
-
-## Usage
+---
+license: gpl-3.0
+---