mission-robotics-ai/awesome-embodied-metal — explained in plain English
Analysis updated 2026-05-18
Find a hackathon robotics project that is ready to clone and run without modification.
Browse reference implementations for controlling SO-101 robot arms with VLA models.
See which projects use the Rerun visualization SDK and how they integrate it.
Compare project readiness levels before choosing one to build on.
| mission-robotics-ai/awesome-embodied-metal | abhas9/escape-run | abhishek-kumar09/mern-live-js-june-2021 | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | HTML | HTML | HTML |
| Last pushed | — | — | 2021-09-13 |
| Maintenance | — | — | Dormant |
| Setup difficulty | hard | easy | moderate |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Most linked projects need specialized robot hardware like SO-101 arms and calibrated cameras to fully run.
This repository is a curated list of every project built at the Embodied Metal Hackathon, a robotics event held in San Francisco in July 2026. It is not a single piece of software, but a directory pointing to many separate robot projects, each built using hardware like SO-101 robot arms and AI models designed to control physical robots, called VLA models. The idea is that people can browse this list and clone or reuse whichever project's code is useful to them. Projects are sorted by how easy they are to reuse, starting with ones you can clone and run right away, then ones that need some setup, then ones that mainly serve as reference code to read rather than run directly. The README lists hackathon winners first, including a robot project that performs cleaning tasks, an autonomous soccer goalkeeper robot, and a tool for resetting physical spaces, along with other prize categories for a data visualization tool called Rerun and various Arduino based hardware entries. For each project, the README describes what it does, lists the specific files and features it includes, states its technology stack such as Python, specific robot arm drivers, camera libraries, and AI frameworks, and rates how ready it is to run, from fully working with a one command setup script to requiring real physical hardware like calibrated robot arms and cameras. Some project descriptions are notably honest about limitations, pointing out where a planned feature like automatic verification was shipped disabled, or where a claimed capability does not fully match what the code actually does. Because this is an index of many independently authored projects rather than one unified codebase, using any specific project means following the links to that project's own repository and reading its individual setup instructions there. The full README is longer than what was shown.
A curated index of every robotics project built at the Embodied Metal Hackathon, ranked by how easy each one is to clone and reuse.
Mainly HTML. The stack also includes Python, Rerun SDK, LeRobot.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.