RoboIndex is an open platform for the robotics research community.
The platform integrates research papers, submission experiences, open-source projects, and AI-agent interfaces.
The goal is to build a robotics research knowledge network + AI-friendly infrastructure.
A community forum where researchers share submission and conference experiences.
Content examples:
- RA-L submission experience
- ICRA conference participation
- IROS conference participation
- review / rebuttal process discussion
Content is contributed by community users.
Value:
- practical research insights
- community engagement
- traffic generation
Priority: Core Feature + Growth Driver
Display robotics papers from RA-L that provide GitHub repositories.
Each paper will be shown as a card including:
- title
- authors
- conference/journal
- summary
- GitHub repository
- tags
Goal:
Help users discover reproducible robotics research.
Priority: Core Feature
Provide analytics based on papers, repositories, and community data.
Example insights:
- distribution of research topics
- research trend evolution
- programming language distribution
- robotics toolchain usage
- hardware platforms
- visualization color usage
- paragraph count distribution
- keyword statistics
Goal:
Transform research data into insightful visual analytics.
Priority: Core Feature + Growth Feature
RoboIndex should be designed to be agent-friendly.
The platform must provide structured information accessible to AI agents.
Examples:
- structured textual knowledge
- machine-readable APIs
- CLI-compatible interfaces
Goal:
Enable AI agents to access robotics research knowledge efficiently.
Priority: Absolute Core Feature
Users can promote their accepted papers or research results.
Features:
- user-submitted research highlights
- promotional pages for accepted papers
- project showcase
Priority: Secondary Feature
Provide timeline data for the submission process.
Example timeline entries:
- first submission date
- review received date
- rebuttal submission
- acceptance or rejection date
Goal:
Help researchers understand review timelines.
Priority: Secondary / Fun Feature
Bots running on platforms such as:
- RedNote (Xiaohongshu)
- X (Twitter)
Bots will collect public information about:
- submission experiences
- conference participation
- acceptance or rejection timelines
Collected data will be:
- anonymized
- aggregated
- published on RoboIndex
Goal:
- traffic generation
- community growth
- dataset expansion
Priority: Core Growth Feature
Provide an AI-powered Q&A interface on the website.
Users can interact with an AI agent to explore:
- robotics papers
- submission experiences
- robotics tools
Security protections should be implemented.
Priority: Secondary Feature
Provide structured information about robotics labs.
Example content:
- lab name
- research topics
- contact information
- website links
Displayed as card-style pages.
Priority: Secondary Feature
Provide high-quality robotics learning resources.
Examples:
- robotics courses
- tutorials
- toolchain guides
- research methodology resources
Priority: Secondary Feature
Inspired by GitHub's GitCity visualization.
Goal:
Visualize the robotics open-source ecosystem.
Priority: Experimental / Fun Feature
Provide predictions based on submission timelines.
Example inputs:
- start writing date
- submission date
- review timeline
Example outputs:
- acceptance probability
- potential outcome scenarios
Goal:
Provide interesting insights for researchers.
Priority: Experimental / Fun Feature
Users can rate the RoboIndex platform.
Example rating system:
- excellent
- neutral
- poor
Priority: Secondary Feature
Users can share tools that improve research productivity.
Examples:
- RL training monitoring tools
- embedded system monitoring tools
- robotics development utilities
Goal:
Build a robotics research tool ecosystem.
Priority: Secondary Feature
Provide a command-line interface for accessing RoboIndex data.
Example commands:
roboindex search papers
roboindex search tools
roboindex submission stats
Goal:
Enable developers and AI agents to interact with RoboIndex directly from the terminal.