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