|
|
--- |
|
|
title: README |
|
|
emoji: 🚀 |
|
|
colorFrom: blue |
|
|
colorTo: red |
|
|
sdk: static |
|
|
pinned: false |
|
|
--- |
|
|
|
|
|
Evolution Gym is a large-scale benchmark for co-optimizing the design and control of soft robots. It provides a lightweight soft-body simulator wrapped with a gym-like interface for developing learning algorithms. EvoGym also includes a suite of 32 locomotion and manipulation tasks, detailed on our [website](https://evolutiongym.github.io/all-tasks). Task suite evaluations are described in our [NeurIPS 2021 paper](https://arxiv.org/pdf/2201.09863). |
|
|
|
|
|
<img src="https://github.com/EvolutionGym/evogym/raw/main/images/teaser-low-res.gif" alt="teaser" style="width: 50%; display: block; margin: auto;" /> |
|
|
|
|
|
To use EvoGym, please refer to our library's [github repo](https://github.com/EvolutionGym/evogym). |
|
|
|
