Project AURIONAI Use-Cases Research & Innovation
robot policy

ACT (Action Chunking with Transformers)

Imitation learning policy that predicts chunks of robot actions with a transformer, introduced with the low-cost ALOHA bimanual arms; LeRobot, OpenVINO and Qualcomm AI Hub ship it.

Stanford University
Levelmodel
Classrobot policy
Parametersnot in the notes
Contextnot in the notes
Released23 Apr 2023
Opennessopen source
Runs onmobile or NPU, CPU server
Statusactive

R&D Topics

Identity

Developer
Stanford University
Family
not in the notes
Released
23 Apr 2023 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image, text
Output
action
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open source
Licence
MIT License sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
mobile or NPU, CPU server
Footprint
Edge or toolkit builds listed in: Qualcomm AI Hub, OpenVINO.
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2304.13705 https://arxiv.org/abs/2304.13705
  2. github.com/tonyzhaozh/act https://github.com/tonyzhaozh/act
  3. aihub.qualcomm.com/models/act https://aihub.qualcomm.com/models/act
  4. huggingface.co/OpenVINO/act-fp16-ov https://huggingface.co/OpenVINO/act-fp16-ov
  5. modelscope.cn/models/lerobot/act_aloha_sim_transfer_cube_hu... https://www.modelscope.cn/models/lerobot/act_aloha_sim_transfer_cube_human
  6. github.com/open-mmlab/mmaction2/tree/main/projects/actio... https://github.com/open-mmlab/mmaction2/tree/main/projects/actionclip
  7. arxiv.org/abs/2109.08472 https://arxiv.org/abs/2109.08472
  8. arxiv.org/html/2304.13705 https://arxiv.org/html/2304.13705

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ACT (Action Chunking with Transformers)", https://aurion.semai.id/models/act-action-chunking-transformer/, records of October 2026.