Embodied-AI-Daily  by luohongk

Daily curated research on embodied AI frontiers

Created 1 year ago
258 stars

Top 98.0% on SourcePulse

GitHubView on GitHub
Project Summary

This repository automatically curates and updates a daily list of the latest research papers from arXiv related to Embodied AI. It targets researchers, engineers, and practitioners seeking to stay abreast of advancements in fields such as Vision and Language Navigation (VLN), Vision-Language Action (VLA), World Models, SLAM, Gaussian Splatting, and Non-linear Optimization. The primary benefit is a streamlined, daily digest of cutting-edge publications, saving users the effort of manual searching.

How It Works

The project operates by automatically fetching the most recent papers from arXiv based on a predefined set of keywords relevant to Embodied AI. Each section within the repository's README corresponds to a specific search keyword. To manage the volume of information, only the most recent papers are retained, with a limit of up to 100 papers per keyword. Users can opt to "Watch" the repository to receive daily email notifications about new additions.

Quick Start & Requirements

  • Primary Action: Follow the repository on GitHub and enable email notifications via the "Watch" feature.
  • Prerequisites: Access to arXiv.
  • Requirements: No specific software installation is required; the project serves as a curated feed.
  • Links: Latest papers are accessible via the repository's README, with direct links to arXiv.

Highlighted Details

  • Daily automated updates ensure timely access to new research.
  • Focus on key Embodied AI subfields including VLN, VLA, SLAM, and World Models.
  • Email notifications available via the GitHub "Watch" feature.
  • README is structured by research area, providing organized access to papers.

Maintenance & Community

The repository is automatically updated daily. Community interaction appears centered around the issue tracker, which highlights the latest 10 papers, and the general "Watch" feature for notifications. Specific details on maintainers or community forums are not provided.

Licensing & Compatibility

The repository itself does not specify a software license. As it primarily aggregates publicly available arXiv papers, users should refer to the individual paper licenses for usage rights. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The repository's scope is limited to papers indexed on arXiv. It maintains only the most recent 100 papers per keyword, meaning older but potentially relevant research may be pruned. The project does not offer direct interaction with the papers or code execution; it serves solely as a curated list. The absence of a specified license for the curation process itself may require clarification for certain use cases.

Health Check
Last Commit

1 day ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
39
Star History
37 stars in the last 30 days

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Open-source framework for embodied AI research
Created 6 years ago
Updated 1 week ago
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