This is the official website for the Robotability academic project from Cornell Tech. Built with Astro, the site showcases our research on the Robotability Score, a novel metric for quantifying urban robot navigation suitability.
The Robotability Score (R) is a novel metric that quantifies how suitable urban environments are for autonomous robot navigation. Through expert interviews and surveys, we've developed a standardized framework for evaluating urban landscapes to reduce uncertainty in robot deployment while respecting established mobility patterns.
This project was presented at CHI '25: ACM Conference on Human Factors in Computing Systems.
All commands are run from the root of the project, from a terminal:
| Command | Action |
|---|---|
pnpm install |
Installs dependencies |
pnpm dev |
Starts local dev server at localhost:4321 |
pnpm build |
Build your production site to ./dist/ |
pnpm preview |
Preview your build locally, before deploying |
pnpm astro ... |
Run CLI commands like astro add, astro preview |
pnpm astro --help |
Get help using the Astro CLI |
This website is built using Astro, a modern static site generator that delivers excellent performance by shipping minimal JavaScript.
The site uses UnoCSS for styling, a utility-first CSS framework that's compatible with TailwindCSS syntax.
The website features several custom components:
- Interactive map of Robotability Scores across NYC
- Collapsible indicator list display
- Team member display cards
- YouTube video integration with LazyBoxVideo
/src/pages/- Page templates including the main index and map view/src/components/- UI components organized by function/src/layouts/- Layout templates for consistent page structure/public/- Static assets like team member images and logos
- Matt Franchi - Computer Science PhD Candidate
- Maria Teresa Parreira - Information Science PhD Candidate
- Frank Bu - Computer Science PhD Candidate
- Wendy Ju - Associate Professor