← All projectsGitHub
Robot manufacturing loops

Can a parallel-jaw arm assemble its own gripper?

research/robofab-selfparts

Can a parallel-jaw arm assemble its own toy gripper? A complete order exists only once the jaw opens to the widest part (30 mm); a top-down-only arm accepts 120 of 720 orderings against 384 with sideways moves; pad thickness changes nothing (negative). Stylised boxes.

8 tests

What it found

Exhaustive search over assembly orders of a seven-part toy gripper (axis-aligned boxes) by a modelled arm with a parallel-jaw grasp check, three approach-direction models and a swept jaw opening. No complete order exists below a 30 mm opening, the width of the widest part; above it, 384 of 720 orderings are valid when parts may be slid sideways and 120 when strictly top-down. Jaw-pad thickness from 2 to 10 mm changes nothing (a negative result for this geometry). Stylised single design, no reach, force or fasteners; simulation only.

Paper, code and results

More in Robot manufacturing loops

All 53 Robot manufacturing loops 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.