StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

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Authors: Jinhui Ye, MichaelYu, Fangjing Wang, Axi404, Yilun Chen, Qixiu Li, Microsoft Open Source, Bin Yu, Chengyao Wang, Jiang Changjiu, Lipeng Wang, Senqiao Yang
+2 more Zixuan Wang, jrryzh(SII)
Cited by: 2

Abstract

StarVLA is a modular and flexible codebase for developing Vision-Language Model (VLM) to Vision-Language-Action (VLA) models. In StarVLA (also a pun on “start VLA” ), each functional component (model, data, trainer, config, evaluation, etc.) follows a top-down, intuitive separation and high cohesion and low coupling principle, which enabling plug-and-play design, rapid prototyping, and independent debugging.

Fields of Study & Subjects

Multimodal Machine Learning Applications Natural Language Processing Techniques Model-Driven Software Engineering Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026