Initial snapshot: hand motion pipeline (Dyn-HaMR + dex-retargeting + SPIDER)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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---
layout: home
hero:
name: "SPIDER"
text: "Scalable Physics-Informed DExterous Retargeting"
tagline: A general framework for physics-based retargeting from human to diverse robot embodiments
image:
src: /figs/teaser.png
alt: SPIDER
actions:
- theme: brand
text: Get Started
link: /guide/quick-start
- theme: alt
text: View on GitHub
link: https://github.com/facebookresearch/spider
features:
- icon: 🔬
title: Physics-Based
details: First general physics-based retargeting pipeline for both dexterous hand and humanoid robot manipulation
- icon: ⚡
title: Fast Simulation
details: GPU-accelerated batched simulation with MuJoCo Warp achieving 10-20x speedup over sequential execution
- icon: 📊
title: Rich Datasets, Robots and Simulators
details: Works with 6+ datasets out of the box including GigaHand, Hot3D, OakInk, and more. Supports 9+ robot embodiments including dexterous hands (Allegro, Inspire, Xhand) and humanoid robots (G1, H1, T1). Supports multiple simulators including MuJoCo Warp, Genesis, and HDMI.
- icon: 🔄
title: Sim2Real Ready
details: Optimized trajectories can be directly deployed to real-world robots with minimal adjustments
---
## Quick Example
```bash
# Clone example datasets
git clone https://huggingface.co/datasets/retarget/retarget_example example_datasets
# Install with uv
uv sync --python 3.12
pip install --ignore-requires-python --no-deps -e .
# Run retargeting
uv run examples/run_mjwp.py
```