b:botstest.Submit a resource ↗

Benchmarks / Research

evogym · EvolutionGym

Evolution Gym benchmarks joint optimization of soft-robot design and control.

co-designroboticssimulationdeep-reinforcement-learningsoft-robotics
Publisher repository ↗
evogym · EvolutionGym resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Evolution Gym benchmarks joint optimization of soft-robot design and control.

Publisher summary: “A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
EvolutionGym
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2025-06-08

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Evolution Gym
  • Installation
  • From Source
  • Requirements
  • Test Installation
  • Known Issues

Browse this resource’s categories

Explore related collections

Browse Benchmarks →