Neural Motion | Generative VAM for Universal Embodiment Transfer
neural-motion.com · 311 words · saved by 1 readers
A generative data engine for robotics.
CROSS-EMBODIMENT ROBOTICS What if every robot could learn from every other robot? A foundation model for cross-embodiment data transfer. SCROLL TO OPEN THE MANUSCRIPT 01 — THE IDEA WE ARE BUILDING A FOUNDATION MODEL FOR Cross-embodiment data transfer. A data-transfer-centric foundation model that turns any source-embodiment data into training data for any other target embodiment. SOURCE A · B · C TRANSLATION FIELD TARGET FRAME T ABC SE(3) ALIGN T 02 — THE PROBLEM Today, good data stays stuck — for two reasons. i — ACROSS ORGANIZATIONS Data that cannot share Every team runs a…
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