daily-paper

To automate embodied AI research paper collection from arXiv and Semantic Scholar, use this tool to fetch, filter, and rank publications by novelty and engineering value. It automatically aggregates multi-source data to produce concise, structured daily or weekly briefs.

Yes, you can generate structured Markdown reports for trending GitHub and Hugging Face embodied AI projects. The tool collects data from these sources, scores relevance, and outputs ready-to-publish reports with optional Markdown or Feishu formats.

The best way to track and prioritize embodied AI papers by engineering value is using an automated ranking system. This tool evaluates publications from arXiv and Semantic Scholar based on novelty, influence, and practical engineering utility to generate structured briefs.

No, automated paper report generation requires only the standard requests dependency. It handles end-to-end functionalities including data collection, relevance scoring, and Feishu or Markdown output generation without requiring complex external API setups.

To publish automated arXiv paper briefs to Feishu, configure the output channel within the generation tool. It structures the collected embodied AI research data into Feishu documents or cards, enabling direct sharing with your research and engineering teams.