DiscoDemo
Collection
Datasets, RL generators and pi0.5 SFT policies from DiscoDemo. Project page: https://davian-robotics.github.io/DiscoDemo/ • 28 items • Updated
How to use DAVIAN-Robotics/DiscoDemo-Stage3_SFT-StackCube 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
A visuomotor π0.5 policy for the StackCube task (stack the red cube on the blue cube), fine-tuned on demonstrations generated by the DiscoDemo generator (diversity weight α = 0.3) of DiscoDemo. It acts from camera images and joint states only, and transfers to the real Franka FR3 robot without real-world fine-tuning.
| Stage | Repository |
|---|---|
| Generator (RL policy) | DAVIAN-Robotics/DiscoDemo-Stage1_RL-StackCube |
| Generated dataset | DAVIAN-Robotics/DiscoDemo-Stage2_GenData-StackCube |
| Imitation policy (π0.5) | DAVIAN-Robotics/DiscoDemo-Stage3_SFT-StackCube (this repository) |
| Base model | DAVIAN-Robotics/pi05_droid_jointpos (π0.5 DROID, joint-position actions) |
| Data | DAVIAN-Robotics/DiscoDemo-Stage2_GenData-StackCube |
| Steps | 20,000 |
| Batch size | 16 |
| Action chunk | 15 (relative to the current joint state) |
| Cameras | over-the-shoulder and wrist |
| Seed | 1000 |
The policy is a LeRobot π0.5 checkpoint. Its pre- and post-processing pipeline uses DiscoDemo processing steps (relative actions, state tokenization), so loading it requires the DiscoDemo code: https://github.com/DAVIAN-Robotics/DiscoDemo.
Apache-2.0, following the base model (openpi).
@article{park2026discodemo,
title = {DiscoDemo: Discovering Efficient and Diverse Robot Demonstrations for Imitation Learning},
author = {Park, Minho and Kim, Kinam and Kim, Donghu and Lee, Byungkun and Hwang, Dongyoon and Shin, Yongjae and Hyung, Junha and Lee, Hojoon and Choo, Jaegul},
journal = {arXiv preprint},
year = {2026}
}
Base model
DAVIAN-Robotics/pi05_droid_jointpos