# PyMujoco

**Repository Path**: rwang0417/PyMujoco

## Basic Information

- **Project Name**: PyMujoco
- **Description**: Generate Model for Mujoco 
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-24
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PyMujoco
Generate Model for Mujoco from MATLAB
# Introduction
> MuJoCo is a physics engine aiming to facilitate research and development in robotics, biomechanics, graphics and animation, and other areas where fast and accurate simulation is needed. It offers a unique combination of speed, accuracy and modeling power, yet it is not merely a better simulator. Instead it is the first full-featured simulator designed from the ground up for the purpose of model-based optimization, and in particular optimization through contacts. MuJoCo makes it possible to scale up computationally-intensive techniques such optimal control, physically-consistent state estimation, system identification and automated mechanism design, and apply them to complex dynamical systems in contact-rich behaviors
# Getting started
```
pip install pyh
```
Then substitude **~\Lib\site-package\pyh.py** with pyh.py in this Repo. The .mat file should contain the _Node matrix_ and _connectivity matrix_ with name N, C_b, C_s