Flex-π: Multi-Stream World-Action Model with Compute Flexibility
chris_j_paxton · x · 2026-08-13
Flex-π is a 6B-parameter world-action model (WAM) that jointly predicts RGB, 3D geometry, and DINO semantics, enabling flexible deployment from action-only to full joint generation. It outperforms strongest baselines by 2-7x on dexterous tasks and runs faster than π0.5. Paper from UW and AI2.
Related event: Flex-π: A 6B Parameter World-Action Model for Robotics(2 posts)→
More from Embodied
- VLA-Δ: Zhejiang University Adds Physical State Transition Supervision to VLA Models — OmniAI-ZJU · 2026-10-16
- PINT: Shared Predictive Intent Tokens Unify Reasoning, World Modeling, and Robot Actions — Xinyu Guo · 2026-10-16
- TouchScale releases 500 hours of unified egocentric vision-tactile data for scaling study — jiqizhixin · 2026-10-16
- Ghost raises $11M for Core, a personal AI computer that runs locally in your home — nick_linck · 2026-10-16
- Robot shows up at Costco to fetch the famous $1.50 hotdog — majidmanzarpour · 2026-10-16
- 15 Leju Kuavo humanoid robots run 2 months at Hangzhou auto-parts line, 98% success rate — CyberRobooo · 2026-10-16