← All projectsGitHub
Digital twins & sim-to-real

If a twin gives every scene the same inlier fraction, how many RANSAC iterations does it say we need, and is that enough when real scenes vary?

research/ransac-twin

RANSAC iteration budget from a fixed-inlier-fraction twin (17 for 99%) vs scenes with beta-binomial inlier counts: exact failure 1.3–30% at that budget, 99% needs 19–458 iterations or is unreachable for κ≤2; stylised, line fitting only.

6 tests

What it found

With N = 100 correspondences, minimal sample 2 and 50% mean inliers, the twin's budget for 99% success is 17 iterations. If the real scene inlier count is beta-binomial with concentration κ, the exact failure at 17 iterations is 1.3% (binomial variation only), 7.0% (κ = 10) and 14.1% (κ = 4); restoring 99% takes 19, 58 and 458 iterations, and for κ ≤ 2 no budget exists because scenes with fewer than 2 inliers cannot succeed. Exact values match a sampler, and an end-to-end noisy line fit goes from 0.9% to 12.6% slope failures at κ = 4 (1.8% with the larger budget, still above 1%). Stylised: assumed scene law, line fitting only, no real data.

A figure from its own output

Figure produced by research/ransac-twin: failure_vs_kappa
ransac-twin/experiments/failure_vs_kappa.svg, written by the project's own experiment code.

Paper, code and results

More in Digital twins & sim-to-real

All 164 Digital twins & sim-to-real projects →

Other research topics

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.