Post a funded fallback task for a robot that got stuck and have a verified human resolve it remotely.
Earn payment in Solana by acting as a pilot who completes teleoperation recovery tasks.
Collect private, licensable human intervention data to train physical AI or robotics models.
Prototype a private data provenance and payout system for robotics teleoperation using Solana.
| exakoss/shadowpilot | 0xradioac7iv/tempfs | abboskhonov/hermium | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | hard | moderate | moderate |
| Complexity | 5/5 | 3/5 | 4/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Node.js 20+, pnpm 10+, Rust, Cargo, and Solana tooling to run the full stack.
ShadowPilot is a TypeScript platform that creates a marketplace for human-assisted robot recovery. When an autonomous robot gets stuck in a situation it cannot handle, ShadowPilot lets a verified human operator step in remotely, complete the recovery task, and receive payment in Solana. The human's intervention is preserved as a signed, rights-bearing training data trace rather than disappearing into an operations log. The platform connects three workflows: a buyer (a robotics team) creates a task and deposits funds in an on-chain escrow, a pilot (a human operator) claims the task, performs the teleoperation to resolve the situation, and submits a trace, then confidential scoring evaluates the quality of the intervention privately before releasing payment and issuing a training-rights receipt to the buyer. That receipt is a compressed NFT representing the buyer's right to use the intervention data for training AI models. Protocol components include Solana and the Anchor smart contract framework for task accounts, escrow, and payout, World ID for optional proof that pilots are unique humans, Arcium for private quality scoring without exposing raw task data, and Metaplex compressed NFTs for training-rights receipts. The current MVP focuses on a simulated warehouse rover scenario. The web application provides separate interfaces for buyers, pilots, and a mission overview, built with Next.js. The project was built for the Solana Colosseum hackathon and is described in the README as not production software.
A hackathon project where verified humans get paid in Solana to remotely rescue stuck robots, with each intervention captured as licensable AI training data.
Mainly TypeScript. The stack also includes TypeScript, Next.js, Solana.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.