GitHub Hot/hybridrobotics/supermimic/Documentación

hybridrobotics/supermimicDocumentación

Humanoid whole-body motion tracking with one differentiable world model.

Tabla de contenidos (4 secciones)▾

Setup Usage Acknowledgements License

Aviso de idioma alternativo:No hay documentación localizada disponible. Mostrando el original en inglés oficial.

Instalación rápida

pip install supermimic

SuperMimic

Project page | Paper

SuperMimic trains a humanoid whole-body motion tracker with one differentiable world model, built on mjlab.

Setup

Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

Clone both repos as siblings:

mkdir supermimic_ws && cd supermimic_ws
git clone [email protected]:HybridRobotics/supermimic.git
git clone [email protected]:HybridRobotics/mjlab_research.git
cd supermimic

Usage

Available task IDs:

SuperMimic-GenCoord-G1 — generalized coordinates representation
SuperMimic-MaxCoord-G1 — maximal coordinates representation

Train a world model and policy:

CUDA_VISIBLE_DEVICES=<GPU_ID> uv run src/supermimic/scripts/train.py \
  <TASK_ID> --runner.run_name <description>

Play back a trained model:

uv run src/supermimic/scripts/play.py \
  <TASK_ID> --wandb-path <RUN_PATH>

Acknowledgements

SuperMimic contains code inspired by these projects:

ControlVAE (BSD-3-Clause)
robotic_world_model (Apache-2.0)
DreamerV3 (MIT)

License

Released under the Apache License 2.0.

Espejo archivado desde el repositorio oficial de GitHub · Visitar en GitHub

Fecha de captura: 2026-11-13