seeker
33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# Third-party notices
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This repository is an independent educational implementation. It does not
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contain code, weights, datasets, or other assets copied from Physical
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Intelligence.
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The design is informed by the following public research artifacts:
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- Physical Intelligence, **“π*0.6: a VLA That Learns From Experience”**
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(RECAP paper): <https://pi.website/download/pistar06.pdf>.
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- Physical Intelligence, **π0.6 model card**:
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<https://website.pi-asset.com/pi06star/PI06_model_card.pdf>.
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- Physical Intelligence, **openpi**, used only as a public reference for the
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earlier π0/π0.5 family; the inspected repository did not provide an official
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π0.6/RECAP training implementation or checkpoint.
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- Pertsch et al., **“FAST: Efficient Action Tokenization for
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Vision-Language-Action Models.”** This project implements a small
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DCT-and-quantization `FAST-lite` teaching approximation, not the official
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tokenizer implementation.
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Runtime dependencies retain their own licenses and copyright notices:
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- PyTorch
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- NumPy
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- Pillow
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- Matplotlib
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- PyYAML
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- pytest (development only)
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Users are responsible for complying with the licenses of any external data or
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checkpoints that they choose to supply. The default configuration points to a
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local manifest and does not redistribute its source images.
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