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Robot manufacturing loops

How much of the gap between “the twin passes” and “it fails for real” does each twin fidelity close?

research/robofab-program

Session-written pick-and-place programs checked in a kinematic SCARA twin at three fidelities against a held-out reference: of 69 reference-failing injected-bug mutants the levels reject 38, 46 and 60 with no false alarms; misses are unmodelled effects (stylised).

10 tests

What it found

A kinematic SCARA pick-and-place twin at three checking levels (geometry; plus joint, payload and deadline limits; plus stochastic grasp error, grip build-up and slip) against a held-out reference twin. Of 162 injected-bug mutants of three programs, 69 fail the reference; the levels reject 38, 46 and 60 of them, with no false alarms. The misses are effects the checker does not model, so the rates reflect how the reference was built. Four programs written by the building session: three failed the reference as drafted, and one failure (payload at long reach) was invisible to all three levels. Stylised, kinematic only, no language-model API called.

Paper, code and results

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Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.