// AI news · 2026-11-14 · NVIDIA
NVIDIA Releases SOMA Retargeter for Human Motion Adaptation
NVIDIA's SOMA Retargeter adapts human motion to humanoid robots using a shared skeleton representation.
Published 2026-11-14 01:00 (Beijing time)Source NVIDIAAuto-summarised, fact-checked against source
01Summary
It scales motion, solves inverse kinematics with Newton on NVIDIA Warp, and applies post-processing. Input sources include motion capture, video reconstruction, and generative models. Outputs are CSV trajectories usable in policy training workflows like SONIC and ProtoMotions.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Adapts human motion to robot proportions via shared SOMA skeleton.
- Supports input from mocap, video reconstruction, or generative models like Kimodo and ARDY.
- v0.2 includes reference configs for five robots: Unitree G1, H2, Booster T1, AgiBot X2 Ultra, AgiBot A3T3.
- Exports motion as CSV files for use in policy training and simulation.
03Source
Adapt Human Motion for Robots with NVIDIA SOMA Retargeter
NVIDIA · published 2026-11-14 01:00 Beijing time
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