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StarForce

Dual system training framework for robotics.

The overall structure borrowed from GR00T, with these modifications:

  • Simplifer VLM model, introduced more advanced VLM and larger slow system;
  • Connecting fast system without cross-attention, using text encoder instead;

Slow thought system

will goes starforce/model/backbone contains various VLMs. Provides a unified interface connect with fast system (action expert)

Fast action system

Currently support:

  • DiT: diffusion transformer
  • QwenFlow: flowmatching based action expert

Env install

pip install -e .[base]

Training

training scripts goes to scripts/xxx.sh

training fast system:

sh scripts/v0/sl_0.sh

training slow thinking system:

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