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- ---
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- license: apache-2.0
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ # 🖊️ ACT-SO100-Draw
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+
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+ Action Chunking Transformer (ACT) checkpoint for **drawing with a custom pen-holding attachment on the SO-100 robotic arm**.
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+
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+ ![pen_tool_photo](./assets/tool.jpg)
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+ *3-D-printed pen mount designed for LeRobot Worldwide Hackathon.*
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+ Tool STL is available for download in the [SO-100 Tools repository](https://github.com/krohling/so-100-tools).
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+
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+ ---
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+
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+ ## Demo
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+
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+ ![Training Results](./assets/demo.gif)
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+
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+ ---
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+ ## Dataset
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+
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+ | Name | Episodes | Frames / episode | Modalities |
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+ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | ---------------- | ----------------------------------------- |
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+ | [370-drawn-to-caffeine-draw-smiley](https://huggingface.co/spaces/lerobot/visualize_dataset?path=%2FLeRobot-worldwide-hackathon%2F370-drawn-to-caffeine-draw-smiley%2Fepisode_0) | 42 | \~450 | RGB 640×480, proprio 5-DoF, gripper state |
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+
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+
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+ ## Training Details
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+
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+ See run details on wandb for more information: [wandb run](https://wandb.ai/kevin_ai/lerobot_hackathon/runs/ahu8fcc0).
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+ | Hyper-parameter | Value |
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+ | ------------------- | ---------------------------------- |
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+ | Chunk size | 100 |
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+ | Dim Feedforward | 3200 |
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+ | Dim Model | 512 |
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+ | Dropout | 0.1 |
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+ | Feedforward Activation | ReLU |
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+ | Decoder layers | 1 |
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+ | Encoder layers | 4 |
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+ | Attention heads | 8 |
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+ | VAE Encoder layers | 4 |
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+ | Batch size | 32 |
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+ | Optimizer | AdamW, lr = 1e-5 |
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+
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+
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+ ## Citation
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+ If you use this checkpoint in your work, please cite the following:
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+ ```bibtex
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+ @misc{Rohling2025ACTSO100Draw,
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+ author = {Kevin Rohling},
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+ title = {ACT Checkpoint for Pen-Drawing on SO-100},
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+ year = {2025},
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+ howpublished = {\url{https://huggingface.co/kevin510/ACT-SO100-PenDrawer}}
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+ }
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+ ```