Robot learns mobility and manipulation with just 15 minutes of training data

GordonWetzstein · x · 2026-11-04

RhodaAI showed a robot powered by its Direct Video-Action (DVA) approach completing a task requiring both mobility and manipulation after only 15 minutes of mobility data.

Stanford professor Gordon Wetzstein highlighted that mobile DVA needs remarkably little additional robot data to learn robust mobility and manipulation — a powerful example of how web-scale video pretraining makes new robot capabilities easy to learn.

Original post →

More from Embodied

Embodied channel →