Downloads · 30 days
27
35% of all-time downloads
ajaysri/robocasa-x-xp900-pnp-vq-extra-action-tokenizer
robocasa-x-xp900-pnp-vq-extra-action-tokenizer is a robotics model from ajaysri. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
VQ action tokenizer used by the public BARX XP-900 pick-and-place walkthrough and source-pretraining checkpoints.
Downloads · 30 days
27
35% of all-time downloads
All-time downloads
78
Public
Repo size
9.5 MB
Likes
0
Public
Click a slice to open those files.
.pt19 MB · 100%
From the Hugging Face model README
VQ action tokenizer used by the public BARX XP-900 pick-and-place walkthrough and source-pretraining checkpoints.
robocasa-x-xp900-pnp-vq-extra-action-tokenizerfuture_action_horizon=7)vq/mg_pnp_liteThe tokenizer converts normalized 7-D policy-action chunks into discrete action tokens. It is task/dataset specific and should be used with the normalization statistics and policy configuration supplied by the BARX release.
The tokenizer was trained with the public BARX VQ-BeT-derived training path on the CC BY 4.0 XP-900 PnP dataset linked above. That dataset contains IIWA, Kinova3, and UR5e source demonstrations for both pick-and-place directions. Configuration and training commands are recorded in the BARX release repository.
This artifact is intended for BARX simulation-policy training and evaluation. It is not a standalone robot controller, is not validated on real robots, and should not be substituted across tasks or action-normalization regimes without retraining and validation.
This BARX model artifact is released under Apache 2.0. The training data is CC BY 4.0. Preserve attribution for the BARX data, VQ-BeT lineage, RoboCasa-X, MiniVLA/OpenVLA, and BARX.
@inproceedings{sridhar2026barx,
title = {Cross-Embodiment Transfer via Behavior-Aligned Representations},
author = {Sridhar, Ajay and Gao, Jensen and Yang, Jonathan and Mercat, Jean and Belkhale, Suneel and Sadigh, Dorsa},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2026}
}