Testing GPT-5.6 and Gemini Robotics Models: Impressive but Need Real Deployment Data
m_wulfmeier · x · 2026-08-04
A robotics expert evaluated Gemini-Robotics-ER-2 and GPT-5.6-Sol models while extending benchmarks.
The author praised these models for delivering the high level of accuracy and robustness required by robotics applications. However, he emphasized a core bottleneck: just as coding proficiency requires coding data, models cannot truly improve at deployment without real-world deployment data.
More from Embodied
- Berkeley researchers sample humanoid robot policies directly from weight space with diffusion — berkeley_ai · 2026-10-16
- OneWM: unified causal training shows world and action modeling improve each other — IAAI233 · 2026-10-16
- Tesla's hover car isn't a flying car — compressed air can't sustain flight — tinyfool · 2026-10-16
- Scobleizer relays claim that Optimus demo will be even more mind-blowing than the road-flipping Roadster — Scobleizer · 2026-10-16
- Indie dev's AI PASSPORT wearable firmware hits 1,200+ downloads in days — ezshine · 2026-10-16
- 1X Opens California Factory for Mass Production of NEO Humanoid Robots — emmanuelvivier · 2026-10-16