Instructions to use RobotControlStack/duobench-pi05-sim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use RobotControlStack/duobench-pi05-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-pi05-sim: direct link, hf CLI and curl.
- Browser
- Download file 3.51 kB
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https://huggingface.co/RobotControlStack/duobench-pi05-sim/resolve/main/README.md
- Command line
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hf download hf://RobotControlStack/duobench-pi05-sim/README.md
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curl -L -o README.md https://huggingface.co/RobotControlStack/duobench-pi05-sim/resolve/main/README.md
3.51 kB
| license: gemma | |
| library_name: lerobot | |
| pipeline_tag: robotics | |
| datasets: | |
| - RobotControlStack/duobench | |
| base_model: | |
| - lerobot/pi05_base | |
| tags: | |
| - duobench | |
| - bimanual | |
| - manipulation | |
| - simulation | |
| - pi05 | |
| # DuoBench π0.5 (sim) | |
| π0.5 policy for the bimanual FR3 Duo setup of [DuoBench](https://arxiv.org/abs/2606.11901), trained on simulation data only for all 11 DuoBench sim tasks (one multi-task policy). | |
| Fine-tuned from [`lerobot/pi05_base`](https://huggingface.co/lerobot/pi05_base) (revision `9e55186`) with [LeRobot](https://github.com/huggingface/lerobot) on the [DuoBench dataset](https://huggingface.co/datasets/RobotControlStack/duobench). | |
| Project page: https://duobench.github.io/ | |
| DuoBench Code: https://github.com/RobotControlStack/duobench | |
| ## Training | |
| - Data: 50 demonstrations per task from the `<task>/sim` folders of [RobotControlStack/duobench](https://huggingface.co/datasets/RobotControlStack/duobench) (all tasks merged) | |
| - Inputs: `head`, `left_wrist` and `right_wrist` cameras (224x224) and the 16-D state (2 x 7 joints + 2 grippers); output: 16-D joint and gripper action | |
| - 40,000 steps, batch size 16, learning rate 2.5e-5, action chunk 50, seed 1000 | |
| - LeRobot commit [`c8ce413d`](https://github.com/huggingface/lerobot/tree/c8ce413d738da15a2eed2d0832315779ea28cbf9); the full configuration is in `train_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 | 5.0 | [3.1, 8.1] | | |
| | bin_sort | 1.7 | [0.7, 3.8] | | |
| | block_balance | 0.0 | [0.0, 1.3] | | |
| | carry_pot | 26.0 | [21.4, 31.2] | | |
| | hinge_chest | 26.7 | [22.0, 31.9] | | |
| | join_blocks | 0.0 | [0.0, 1.3] | | |
| | pour_marbles | 0.0 | [0.0, 1.3] | | |
| | spring_door | 19.7 | [15.6, 24.5] | | |
| | transfer_cube | 13.0 | [9.7, 17.3] | | |
| | transfer_gate | 23.3 | [18.9, 28.4] | | |
| | transfer_reorient | 1.3 | [0.5, 3.4] | | |
| | **mean** | **10.6** | | | |
| ## Usage | |
| ```python | |
| # LeRobot at commit c8ce413d | |
| from lerobot.policies.pi05.modeling_pi05 import PI05Policy | |
| policy = PI05Policy.from_pretrained("RobotControlStack/duobench-pi05-sim") | |
| ``` | |
| See the [DuoBench code](https://github.com/RobotControlStack/duobench) 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. | |
| ## License | |
| This model is a Model Derivative of Gemma (π0.5 is built on [PaliGemma](https://huggingface.co/google/paligemma-3b-pt-224)) and is distributed under the [Gemma Terms of Use](https://ai.google.dev/gemma/terms). | |
| Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms (see `NOTICE`). | |
| Use of this model is subject to the [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy), which applies to every recipient and downstream user. | |
| The files in this repository are modified: they are the weights of `lerobot/pi05_base` fine-tuned on DuoBench simulation data. | |
| ## 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} | |
| } | |
| ``` | |