# Enginuity

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Rohith Raghunathan Nair](https://cerebralvalley.ai/u/rohith)
- **GitHub:** https://github.com/iamrohithrnair/enginuity-robotics
- **Demo video:** https://youtu.be/Hs6iYQsmXeA
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4649

Factories put in a record 603,000 industrial robots last year, according to the IFR's World Robotics 2026 report. Over 5 million are now running, with another 655,000 forecast for this year. Every single one has to be programmed. Then reprogrammed, each time the product changes.

On the shop floor that usually means stopping production while a specialist walks the robot through every movement, point by point, in the manufacturer's own language: RAPID for ABB, KRL for KUKA, and so on. Simulation software is meant to avoid that, but the licences are pricey and someone still has to build an accurate 3D copy of the work area and check every move. For most small businesses it's simply not on. AI ought to help. Robot code is unforgiving though, and one wrong line can swing an arm straight into the machine beside it, so nobody sensible runs it unchecked.

Enginuity Robotics is a robot programming studio that runs in a browser tab, with an AI assistant built on Meta's models doing the heavy lifting. You tell it what you want in plain English, or show it a photo or a sketch of the space. It builds a 3D model of the work area from a library of real robot arms, grippers, conveyors and other kit, writes the program, tests every single move in simulation, and hands back code in the robot's own language.

That last bit is the point, really. The assistant doesn't just suggest code. It checks it: whether each position can be reached, whether anything collides, how long a cycle takes. Only then does it give you something to load onto the robot, with converters for most major brands, from Universal Robots to ABB and KUKA.

Meta's models run every part of it. Muse Spark 1.3 is the brain, and it can use every one of the app's 283 features in a single conversation, so it can lay out a station, program it and simulate it without a person stepping in. When there's a photo, Muse Spark works out what matters and SAM 3.1 finds each object in it, so the layout is measured rather than guessed. Specs come from Meta search, with sources shown, so payloads and reach figures are real. A second, faster model, Muse Spark 1.2, checks every request and every web result in about a second and blocks anything off-topic or suspicious. Muse Wonder is there for the hardest jobs.

The business case is fairly simple. A manufacturer or integrator can try out a robot before buying it, reprogram a line without stopping it for days, and do it without a simulation team or a desktop licence. Teachers and students get a proper offline programming tool, open source, in a browser.

Everything goes through one Meta key, and the hosted version lets people bring their own. Later on, a firm could fine-tune an open-weight Muse model, such as Muse Spark Open or Muse Glimmer, on its own robots, parts and data, and keep it in house.

Program a robot with a sentence, or a photo. That's Enginuity.

## More from Meta Global AI Developer Hackathon

- [SI ORBIT](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4646)
- [bonsai](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4647)
- [Chand](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4648)
- [Itara](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4650)
- [Nomad](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4651)
- [RoboCraft](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4652)

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