VLA models

π*0.6 (Physical Intelligence)

United States

Latest VLA from the best-funded US robot foundation model startup, trained with RECAP to learn from its own experience; ran espresso making, laundry folding and factory box packing for hours uninterrupted. Unlike π0/π0.5 (open-sourced via openpi), π*0.6 weights had not been released as of mid-2026.

Updated 2026-07-09 · Last verified 2026-07-09

OrganizationPhysical Intelligence
CountryUS
Release2025-11
Open weightsno
ArchitectureVLA built on a 5B-parameter VLM augmented with an action expert; RL post-training via RECAP (RL with Experience and Corrections via Advantage-conditioned Policies)
Modalitiesvision, language, action
Embodimentsmanipulator, mobile, cross-embodiment
Training dataBuilds on the π0.5 pretraining mixture; RECAP combines demonstrations, expert teleoperated corrections and autonomous on-robot experience with a value function

Sources : Physical Intelligence (2025-11-17)Physical Intelligence (model card) (2025-11-17)Physical Intelligence (GitHub) (2026-07-09)

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Christian Verbrugge

Christian Verbrugge · D·Fairy

Bringing a physical AI solution into European industry?

15 years at KUKA on automotive OEM programs (€100M), now focused on edge AI and autonomous agents. I support robotics and embodied AI companies on their EMEA market entry: OEM and Tier 1 access, co-funded pilots, AI Act readiness.

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