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Robots on the building site

Does a stock humanoid pay for itself on a house site, and how much of a new home's price could it remove?

research/buildbot-cost

Does a stock humanoid pay for itself on a house site? The break-even slowdown against a $38/h loaded carpenter is about 2.4 for a $16k Unitree G1 and 1.1 for a $90k H1; over a sweep the G1 saves money in 15% of draws, the H1 in 0.4%, and a perfect H1 would remove 0.19% of an average home's price on the taskbook scope (inputs swept, not measured).

8 tests

What it found

Prices the 46 crew-hours of buildbot-taskbook against the ownership cost of a Unitree G1 ($16,000 launch price) or H1 ($90,000) and a $29.12/h carpenter median (BLS, May 2025). A robot may take only the tasks whose static payload test it passes (H1 32.7 h, G1 5.9 h). The net saving per replaced crew-hour is the loaded wage less slowdown × (ownership rate + supervision × wage), so there is a break-even slowdown: about 2.4 robot-hours per crew-hour for the G1 and 1.1 for the H1 at 0.3 supervision. Over a 4,000-draw sweep the G1 saves money in 15% of draws and the H1 in 0.4%; the best draw saves about $200 on this scope, and a free instant H1 would remove $1,217, 0.18% of NAHB's $665,298 average price. A crude cost-scaled scenario (hours matched to NAHB's framing share) gives up to 8.1% as a ceiling. Slowdown, supervision, success, burden, life and upkeep are swept, not measured: no robot skill is simulated yet, prices are 2024 launch figures, and payload passes are upper bounds.

A figure from its own output

Figure produced by research/buildbot-cost: figure
buildbot-cost/experiments/figure.png, 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.