Robotics
LeRobot
Safetensors
pi0_5
pi05
manipulation
block-transfer
trossen-ai
shantanu-tr commited on
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Add model card

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+ ---
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+ library_name: lerobot
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+ license: apache-2.0
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+ base_model: lerobot/pi05_base
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+ pipeline_tag: robotics
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+ tags:
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+ - robotics
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+ - lerobot
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+ - pi0_5
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+ - pi05
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+ - manipulation
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+ - block-transfer
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+ - trossen-ai
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+ datasets:
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+ - TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer
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+ ---
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+
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+ # pi0.5 — Block Transfer (batch size 8)
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+
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+ Fine-tuned [pi0.5](https://huggingface.co/lerobot/pi05_base) vision-language-action policy
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+ for the **block transfer** task on the **Trossen AI Stationary** bimanual platform.
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+
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+ ## Model details
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+
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+ | | |
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+ |---|---|
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+ | **Architecture** | pi0.5 (PaliGemma `gemma_2b` backbone + `gemma_300m` action expert) |
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+ | **Base model** | [`lerobot/pi05_base`](https://huggingface.co/lerobot/pi05_base) |
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+ | **Framework** | [LeRobot](https://github.com/huggingface/lerobot) |
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+ | **Robot platform** | Trossen AI Stationary (bimanual, 14-DoF) |
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+ | **Cameras** | `cam_high`, `cam_low`, `cam_left_wrist`, `cam_right_wrist` (480×640 RGB) |
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+ | **Action chunk** | 50 steps, 10 inference steps |
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+ | **Precision** | bfloat16 |
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+ | **License** | Apache 2.0 |
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+
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+ ## Training
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+
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+ | Hyperparameter | Value |
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+ |---|---|
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+ | **Batch size** | **8** |
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+ | Training steps | 100,000 |
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+ | Learning rate | 2e-5 (cosine decay to 2.5e-6 over 30k steps, 1k warmup) |
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+ | Optimizer | AdamW (β=(0.9, 0.95), wd=0.01, grad clip 1.0) |
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+ | Gradient checkpointing | Enabled |
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+ | Hardware | 1× NVIDIA H200 (141 GB VRAM) via [Trossen Cloud Service](https://www.trossenrobotics.com/) |
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+ | Dataset | [`TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer`](https://huggingface.co/datasets/TrossenRoboticsCommunity/trossen_ai_stationary_block_transfer) |
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+
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+ ## Usage
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+
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+ Load the policy with LeRobot:
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+
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+ ```python
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+ from lerobot.policies.pi0_5.modeling_pi0_5 import PI05Policy
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+
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+ policy = PI05Policy.from_pretrained(
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+ "TrossenRoboticsCommunity/pi05-block-transfer-bs8"
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+ )
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+ ```
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+
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+ See the [LeRobot pi0.5 docs](https://github.com/huggingface/lerobot) for the full
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+ inference / rollout setup on real hardware.
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+
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+ ## Files
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+
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+ | File | Purpose |
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+ |---|---|
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+ | `config.json` | Policy configuration |
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+ | `model.safetensors` | Model weights (~7.5 GB) |
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+ | `policy_preprocessor.json` + `*_normalizer_processor.safetensors` | Input normalizer (state/action quantiles) |
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+ | `policy_postprocessor.json` + `*_unnormalizer_processor.safetensors` | Output unnormalizer |
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+
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+ ## Related models
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+
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+ - [`TrossenRoboticsCommunity/pi05-block-transfer-bs8`](https://huggingface.co/TrossenRoboticsCommunity/pi05-block-transfer-bs8) — this model
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+ - [`TrossenRoboticsCommunity/pi05-block-transfer-bs32`](https://huggingface.co/TrossenRoboticsCommunity/pi05-block-transfer-bs32) — same task, batch size 32