# Chand

- **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:** [Adarsh Baburaj](https://cerebralvalley.ai/u/Adarshbaburaj)
- **GitHub:** https://github.com/adarshbaburaj/Chand_arm
- **Demo video:** https://youtu.be/vykwAYgjLnA
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4648

Chand teaches two low-cost SO-101 arms a pick-and-place task from ONE human demonstration, with no robot training: no VLA, no imitation-learning policy, no depth camera. Just one top camera, a wrist camera per arm and a Jetson AGX Orin.

Show the right arm once with a leader arm. Meta Muse Spark reads the before/after photos and writes the rule ("red objects into the bin, leave the white ones"). Then both arms clear the table on their own.

- See: SAM 3 runs locally on the Jetson; a text prompt returns a mask for every object. Self-calibration maps pixels to millimetres.
- Think: Spark plans the picking order as validated JSON, with a rule-based fallback.
- Act: inverse kinematics, smooth 50 Hz motion, force-feedback grasping with retries.
- Two arms: the left arm hands over objects the right can't reach, and takes over if the right misses.

Result: 4/4 objects binned, every grasp first try, 2 handoffs, 271 s, about $0.003-$0.02 in API calls. Everything is visible live in Rerun.

## More from Meta Global AI Developer Hackathon

- [Visual Second Brain](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4645)
- [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)
- [Enginuity](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4649)
- [Itara](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4650)
- [Nomad](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4651)

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