Instructions to use RobotControlStack/duobench-xvla-sim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use RobotControlStack/duobench-xvla-sim with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from RobotControlStack/duobench-xvla-sim: direct link, hf CLI and curl.
- Browser
- Download file 2.85 kB
-
https://huggingface.co/RobotControlStack/duobench-xvla-sim/resolve/main/README.md
- Command line
-
hf download hf://RobotControlStack/duobench-xvla-sim/README.md
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curl -L -o README.md https://huggingface.co/RobotControlStack/duobench-xvla-sim/resolve/main/README.md
2.85 kB
metadata
license: apache-2.0
library_name: lerobot
pipeline_tag: robotics
datasets:
- RobotControlStack/duobench
base_model:
- lerobot/xvla-base
tags:
- duobench
- bimanual
- manipulation
- simulation
- xvla
DuoBench X-VLA (sim)
X-VLA policy for the bimanual FR3 Duo setup of DuoBench, trained on simulation data only for all 11 DuoBench sim tasks (one multi-task policy).
Fine-tuned from lerobot/xvla-base with LeRobot on the DuoBench dataset.
Project page: https://duobench.github.io/ DuoBench Code: https://github.com/RobotControlStack/duobench
Training
- Data: 50 demonstrations per task from the
<task>/simfolders of RobotControlStack/duobench (all tasks merged) - Inputs:
head,left_wristandright_wristcameras (224x224) and the 16-D state (2 x 7 joints + 2 grippers); output: 16-D joint and gripper action - 40,000 steps, batch size 48, learning rate 1e-4, action chunk 30, seed 1000
- LeRobot commit
c8ce413d; the full configuration is intrain_config.json
Results
Success rate (%) in DuoBench simulation over 300 rollouts per task (seeds 0-299) with a Wilson 95% interval.
| Task | Success | 95% CI |
|---|---|---|
| ball_maze | 2.0 | [0.9, 4.3] |
| bin_sort | 1.0 | [0.3, 2.9] |
| block_balance | 0.0 | [0.0, 1.3] |
| carry_pot | 12.3 | [9.1, 16.5] |
| hinge_chest | 12.0 | [8.8, 16.2] |
| join_blocks | 0.0 | [0.0, 1.3] |
| pour_marbles | 0.0 | [0.0, 1.3] |
| spring_door | 13.7 | [10.2, 18.0] |
| transfer_cube | 9.3 | [6.5, 13.2] |
| transfer_gate | 26.3 | [21.7, 31.6] |
| transfer_reorient | 0.0 | [0.0, 1.3] |
| mean | 7.0 |
Usage
# LeRobot at commit c8ce413d
from lerobot.policies.xvla.modeling_xvla import XVLAPolicy
policy = XVLAPolicy.from_pretrained("RobotControlStack/duobench-xvla-sim")
See the DuoBench code for the simulation environments and evaluation.
Limitations
- Trained on simulation data only; not meant for the real robot.
- Loading needs a LeRobot version compatible with the commit above.
Citation
If you find this model or DuoBench useful for your work, please consider citing it:
@misc{duobench,
title={{DuoBench}: A Reproducible Benchmark for Bimanual Manipulation in Simulation and the Real World},
author={Tobias J{\"u}lg and Seongjin Bien and Simon Hilber and Yannik Blei and Pierre Krack and Maximilian Li and Sven Parusel and Rudolf Lioutikov and Florian Walter and Wolfram Burgard},
year={2026},
url={https://arxiv.org/abs/2606.11901}
}