CanIEmbody
Matrix/Policy·VLA·Jingwen Sun et al. (University of Science and Technology of China and collaborators)

VLA-JEPA

Vision-language-action model that pairs a Qwen3-VL-2B backbone with a flow-matching DiT action head, and adds a V-JEPA2 latent video world model as an auxiliary self-supervised loss during training only. At inference only Qwen and the action head run, predicting 7-step action chunks.

open weightsverified 2026-10-24paper →

Architecture

Family
vla
Backbone
Qwen3-VL-2B-Instruct + DiT-B flow-matching action head (V-JEPA2 world model, training only)src
Action head
flow-matchingsrc
Action chunking
yes
Code license
Apache-2.0
Weights license
Apache-2.0
Language input
required

Compute requirements

No sourced requirements yet.

Training requirements: see also the LeRobot compute hardware guide, the authoritative source for LeRobot training envelopes.

Measured inference 0 runs · inference cost only, not task success

No measured runs yet. Submit one with its runtime, precision and camera count.

Robots running VLA-JEPA 8 of 24 with evidence

RobotStateTierVerifiedDetail
Franka Research 3works with caveatsT1 · upstream documented2026-10-24 1d agoEvidence is the authors' own lab evaluation (100 demonstrations, three pick-and-place tasks); the upstream repo ships training and simulation-evaluation scripts but no FR3 deployment code or FR3 checkpoint.
Franka Emika PandapartialT1 · upstream documented2026-10-25 todaySimulation only: LIBERO (simulated Franka Emika Panda); no real-robot training or inference on a Panda is documented. The paper's real-robot experiments use a Franka Research 3 (see the franka-fr3 cell).
I2RT YAMpartialT3 · community reported2026-10-25 todayTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
ROBOTIS OMXpartialT3 · community reported2026-10-24 1d agoTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
OpenArmpartialT3 · community reported2026-10-24 1d agoTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
reBot Arm B601-DMpartialT3 · community reported2026-10-24 1d agoTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
SO-101partialT3 · community reported2026-10-24 1d agoTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.
Trossen WidowX AIpartialT3 · community reported2026-10-25 todayTraining evidenced by public checkpoint(s); on-robot inference not documented by a primary source.

No verified evidence, but both are available in LeRobot (ecosystem context): AgileX PiPER, ARX5, Bimanual SO-100/SO-101, EarthRover Mini Plus, HopeJR, Koch v1.1, LeKiwi, Reachy 2, SO-100, Unitree G1, Universal Robots UR5e, UFACTORY xArm, XLeRobot.

Framework support

FrameworkSupportSinceType stringDocs
LeRobotnativesrc0.6.0vla_jepadocs
LeRobot: Added in v0.6.0 ("feat(policies): add VLA-JEPA"). Default chunk_size 7, 4 Euler denoising steps.

Checkpoints

Related terms

World model

Sources

  1. T1 · upstream documentedofficial-docssource 2026-08-03verified 2026-10-24 (1d ago)lerobot 0.6.1

    LeRobot VLA-JEPA docs: Qwen3-VL backbone, V-JEPA2 video world model, flow-matching DiT action head; world model unused at inference.

    “a Vision-Language-Action model that combines a Qwen3-VL language backbone with a self-supervised video world model (V-JEPA2) and a flow-matching DiT action head.”
    https://github.com/huggingface/lerobot/blob/v0.6.1/docs/source/vla_jepa.mdx
  2. T1 · upstream documentedofficial-docssource 2026-08-03verified 2026-10-24 (1d ago)lerobot 0.6.1

    Only the Qwen backbone and action head run at inference.

    “Only Qwen + the action head are used. The world model is not needed at inference time.”
    https://github.com/huggingface/lerobot/blob/v0.6.1/docs/source/vla_jepa.mdx
  3. T1 · upstream documentedofficial-docssource 2026-08-03verified 2026-10-24 (1d ago)lerobot 0.6.1

    Weights follow ginwind/VLA-JEPA (Apache 2.0); integration code Apache 2.0.

    “The LeRobot integration code follows the **Apache 2.0 License**.”
    https://github.com/huggingface/lerobot/blob/v0.6.1/docs/source/vla_jepa.mdx
  4. T1 · upstream documentedsource-codesource 2026-08-03verified 2026-10-24 (1d ago)lerobot 0.6.1

    Policy type string is `vla_jepa`; default chunk_size 7.

    “@PreTrainedConfig.register_subclass("vla_jepa")”
    https://github.com/huggingface/lerobot/blob/v0.6.1/src/lerobot/policies/vla_jepa/configuration_vla_jepa.py
  5. T1 · upstream documentedrelease-notessource 2026-07-06verified 2026-10-24 (1d ago)lerobot 0.6.0

    VLA-JEPA was added in LeRobot v0.6.0.

    “* feat(policies): add VLA-JEPA by @Maximellerbach in https://github.com/huggingface/lerobot/pull/3568”
    https://github.com/huggingface/lerobot/releases/tag/v0.6.0
  6. T3 · community reportedhub-checkpointverified 2026-10-24 (1d ago)

    Hub API: lerobot/VLA-JEPA-{Pretrain,LIBERO,SimplerEnv} and ginwind/VLA-JEPA exist, all tagged license:apache-2.0.

    https://huggingface.co/lerobot/VLA-JEPA-Pretrain