miao-org/awesome-supermimic

A curated collection of SuperMimic implementations, extensions, demos, and resources.

Open original source ↗

From the publisher

README & documentation

Source preview

Read the project’s overview, installation instructions and usage examples. The original README is the source of truth.

[](https://github.com/sindresorhus/awesome) [](https://arxiv.org/abs/2610.28480) [](LICENSE) [](CONTRIBUTING.md) A curated collection of SuperMimic implementations, extensions, demos, and resources. English · 简体中文 Original paper · Official website · Interactive demo · Community projects World-model predictions Original footage: SuperMimic authors · Click a preview for the full video · Media credits Start with the original work below, then choose an implementation by framework and task. This is a community-maintained resource list; the linked implementations are credited to their own authors. SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World Model Qiayuan Liao, Yiyang Shao, Junfeng Long, Kevin Zakka, Roberto Horowitz, Pieter Abbeel, and Koushil Sreenath. UC Berkeley · CoRL 2026 Oral Paper · PDF · Project · Video · Browser demo SuperMimic learns shared humanoid dynamics from simulator transitions and improves a motion-tracking policy through short imagined rollouts. The world model and policy are updated in the same training loop; policy gradients pass through the learned…

miao-org/awesome-supermimic on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-28T13:23:55.246Z

Inside the original README — Document outline
  1. Awesome SuperMimic
  2. Contents
  3. Original SuperMimic
  4. Community projects
  5. Real-robot deployment and Sim2Real
  6. SuperMimic-Repro-Sim2Real
  7. SuperMimic G1 Deployment
  8. Independent reproductions
  9. supermimicvibed
  10. SuperMimic-Reproduced
  11. supermimicvibe
  12. SuperMimic Mjlab

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the README

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: CC0-1.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

A curated collection of SuperMimic implementations, extensions, demos, and resources.

Repository facts

Owner
miao-org
Primary language
Not reported
Stars
404
Forks
14
Open issues + pull requests
1
License
CC0-1.0
Archived
No
Default branch
main
Created
2026-10-26T02:49:01.000Z
Last push
2026-10-31T16:33:09.000Z

Topics and intended use

Owner-supplied topics: awesome-list, humanoid-robotics, motion-tracking, supermimic, world-model

Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.

Evaluate before installing

Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.

README and project files

Issues and maintenance discussion

Releases and changelog

Source and freshness

Source: GitHub. Metadata observed 2026-11-01T12:17:46.653Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related repositories