Bagel Labs releases WorldDiT, a sub-billion-parameter robot control model
EXM7777 · x · 2026-07-29
Bagel Labs released WorldDiT, a unified diffusion transformer for robotics world modeling and control.
- It couples action generation with visual world modeling instead of relying on a large pretrained VLM action backbone.
- On the LIBERO benchmark, it reports the best results among publicly released methods that do not need a VLM to generate actions.
- The paper says the model sits on the reported Pareto frontier for size and performance across four LIBERO suites, and serves as a strong sub-billion-parameter baseline for future scaling work.
Related event: Bagel Labs Unveils WorldDiT for Unified Robot Control(3 posts)→
More from Embodied
- UMD's PAIR framework bridges perception and action in VLA models via bridge tokens — Kaixi Feng · 2026-10-16
- CI-MSE offline metric hits -0.87 Spearman correlation with real robot task success vs weak raw MSE — chris_j_paxton · 2026-10-16
- List of 15 best robotics researchers on X, from Jim Fan to Chelsea Finn and Fei-Fei Li — FinanceYF5 · 2026-10-16
- Fake Apple listing for dual-screen 'iPhone Duo' jokes it's the best phone for watching your AI agents — AIFlow_ML · 2026-10-16
- Inside Auki's Hong Kong office: a fake grocery store powering robotics data collection — LoganGrasby · 2026-10-16
- Physicist calls compressed-air car a scam: one charge would take a week of compressor time — rickasaurus · 2026-10-16