Does an insertion policy tuned in one simulator survive a better one?
research/robofab-insert
Peg-in-hole search policies tuned by CEM in MuJoCo at three fidelity levels or with domain randomisation: tuned on the simplest level 0.91 success there but 0.53 / 0.26 on a stiffer-contact / held-out level; training on the stiffer level or with randomisation gives 0.43–0.46 held-out and cannot be ranked with 5 seeds. Stylised, sim-to-sim.
What it found
Cross-entropy-tuned five-parameter peg-in-hole search policies in MuJoCo, trained on three simulator fidelity levels or with domain randomisation and tested on all three plus a held-out parameter set. Tuned on the simplest level, success is 0.91 there but 0.53 on the stiffer-contact level and 0.26 on the held-out one; training on the stiffer level or with randomisation gives 0.43–0.46 on the held-out set, and with 5 seeds the two cannot be ranked. No seed exceeds 0.61 on the held-out level. Toy planar task; sim-to-sim only.
A figure from its own output
Paper, code and results
More in Robot manufacturing loops
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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.