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Agentic co-design of low-cost robots

Does diagnostic feedback help a gripper design loop once the task has headroom?

research/codesign-headroom

Does diagnostic feedback help a gripper design loop once the scene generator is fixed? Still no: every method gains only 0.00 to 0.05 (best test success 0.85 to 0.90) and the failure-summary and rollout-log readers do not beat random search, CMA-ES or Bayesian optimisation (stylised, rule-based readers, not an LLM).

12 tests

What it found

Re-runs the codesign-diagnose ablation after fixing the scene generator that codesign-ceiling blamed for the 0.85 plateau (hand height capped at the object’s centre). Three rule-based readers (score only, failure summary, full rollout logs) and random search, CMA-ES and Bayesian optimisation, 8 seeds × 40 designs in MuJoCo. Every method gains only 0.00–0.05 (median best test success 0.85–0.90) and the ranking is not resolved at 40 test scenes (standard error about 0.05); feedback still does not beat blind search, and the best designs still lose 0.05–0.06 on fresh scenes. Stylised; readers are rules, not an LLM.

A figure from its own output

Figure produced by research/codesign-headroom: best_so_far
codesign-headroom/experiments/best_so_far.svg, written by the project's own experiment code.

Paper, code and results

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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.