Summary This repository offers a comprehensive, Chinese-language, practice-oriented handbook for algorithm engineers entering the Vision-Language-Action (VLA) field, particularly in robotics. It bridges the gap between VLA paper theory and practical code implementation by distilling scattered engineering details, community insights, and industry intelligence into a curated, actionable knowledge base, enabling faster adoption and development.

How It Works The handbook functions as a "living knowledge base" powered by the automated "Pulsar" system. Pulsar continuously synthesizes information from daily new VLA papers and practical insights distilled from Chinese/English online communities and GitHub Issues. It focuses on crucial engineering details often omitted in papers, such as entry scripts, hyperparameters, shape checks, multi-modal sync, Sim2Real, and hardware selection. The system is self-evolving, automatically adjusting hypotheses and providing daily updates, weekly digests, and bi-weekly reports.

Quick Start & Requirements Access the handbook via its GitHub repository or website (sou350121.github.io/pulsar-web). Integrate the "VLA Expert Skill" into AI assistants (Claude, Cursor, Codex) by copying provided files for direct VLA expertise. No specific hardware prerequisites are listed for documentation access; domain knowledge is implied.

Highlighted Details

• Automated Content Pipeline: "Pulsar" system curates, rates (⚡/🔧/📖/❌), and generates deep dives on new VLA papers daily.
• Community Engineering Insights: Distills practical experience from 300+ Chinese posts, 165 English entries, and 47 GitHub Issues, covering real-world pitfalls and troubleshooting.
• Robotics Industry Radar: Daily tracking of company news (funding, products, IPOs) with weekly industry analysis.
• VLA Expert Skill: Integrates handbook knowledge into AI assistants for expert VLA assistance.
• Practical Focus: Emphasizes actionable details like entry scripts, hyperparameters, Sim2Real, and hardware for robotics.

Maintenance & Community Maintained via the automated Pulsar system with daily research and weekly community updates. The system is self-evolving. Contributions are welcomed via Issues/PRs for paper interpretations, real-world experiences, and interview questions (CONTRIBUTING.md).

Licensing & Compatibility Licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International), permitting commercial use and adaptation with attribution.

Limitations & Caveats Primarily focuses on VLA applications within robotics. The self-evolving nature of the Pulsar system requires ongoing validation. Core documentation is in Chinese, supplemented by distilled English content.