Progress in Humanoid Robot World Models
RemiCadene · x · 2026-07-17
A repost highlights that UMA is advancing latent world models for humanoid robots, accelerated by a SPRIND grant. The cited content traces a research trajectory: a long-term pursuit of scaling learning with minimal supervision and efficient data collection, including self-supervision, third-person imitation, and aligning different modalities/views/embodiments into a shared latent space.
The author notes that while few truly focus on the frontier of AI for robotics long-term, this specific line of research has already seen progress across multiple layers of the learning stack.
Related event: Remi Cadene Hires for Embodied World-Models Team(5 posts)→
More from Embodied
- Skyfall AI's SKY-001 world model turns sketches into CAD builds in 3.9s, vs 199s for GPT-6 Astra — rohanpaul_ai · 2026-10-27
- Tesla FSD approved in Latvia, the 10th European country; Musk praises smaller nations for moving fastest — elonmusk · 2026-10-27
- WanGP v18.81 adds Tencent's Hy-Nomas world model, playable on 8GB VRAM — cocktailpeanut · 2026-10-27
- NVIDIA open-sources FLORA, a robotics data engine ~125x cheaper than GPT-6 Astra — nvidia · 2026-10-27
- Embodied AI startups need a different operational discipline, investor says — ___Mufasaa · 2026-10-27
- π0.5 study: raising demos from 10 to 438 lifts Place Ball in Bowl success from 7% to 83% — stingning · 2026-10-27