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Laundry-hanging robots

What hanger shape keeps a shirt in shape, and can one hanger fit every size?

research/hanger-fit

What hanger shape keeps a shirt in shape, and can one hanger fit every size for a laundry-hanging robot? In a 2D cloth-drape simulation the best single fixed hanger leaves garments 2.1 cm RMS from their worn shape (5.4 cm for a child's tee), one adjustable-width hanger set per garment 0.18 cm, and a rack of four widths under 1 cm for every size; thin wire ends fold the cloth at the tip. Stylised.

14 tests

What it found

A 2D cloth-drape model (discrete elastic chain with penalty contact, solved by L-BFGS) scores how far a garment hangs from its worn shape, and CMA-ES designs the hanger. Over seven sizes from a child’s tee to XXL, the best single fixed hanger averages 2.1 cm RMS shape error (5.4 cm worst). One adjustable-width hanger set per garment averages 0.18 cm (0.22 worst), 12× better, and a rack of four widths keeps every size within 1 cm. Wire and plastic hangers fold the cloth at the tip (about 65°/cm against 14° worn); a 2–3 cm round end removes it, but a loop scored on shape alone converges on wire-thin ends. CMA-ES beats random search (0.19 vs 0.44 cm at 150 drapes). Stylised: 2D, no friction, assumed fabric constants.

A figure from its own output

Figure produced by research/hanger-fit: drape
hanger-fit/experiments/drape.svg, written by the project's own experiment code.

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.