001 / Physical Intelligence
Synthetic Training Data
for Fine Motor Skills.
Describe a task. Receive physically-verified egocentric video, 3D hand poses, and contact forces — exported in LeRobot v2.0, ready to fine-tune any VLA.
001 / Physical Intelligence
21 kp · MANO · 60 fps002 / The system
Three stages, one pipeline.
From a single sentence to a fine-tunable dataset — every step grounded in physics.
01
Describe
Write the task in plain language. A constrained LLM samples a structured variation matrix across lighting, placement, contact, and hand pose.
02
Simulate
MuJoCo plays the trajectory under physics. A diffusion video prior renders it as egocentric RGB-D with realistic motion blur and occlusion.
03
Export
Every frame ships with 21 MANO keypoints, 6-DoF object pose, contact forces, and per-pixel depth. Bundled as LeRobot v2.0 — paste it into your VLA.
003 / Outcomes
Numbers that move benchmarks.
Episodes generated
Hand pose accuracy
Dataset turnaround
004 / Manifesto
The bottleneck for general-purpose robots was never compute — it was data. The data we needed didn't exist, so we built the machine that makes it.
From the Abundance research notebook
Read the research →005 / The invitation
Build with abundance.
Early access is opening for research labs and frontier robotics teams. Tell us what you're training — we'll point you at the data.