Construction of a 3D MEMS Microcoil Using Sequential Robotic Microassembly Operations
Bibliographic record
Abstract
This paper describes the contruction of an out-of-plane MEMS (Micro-Electro Mechanical System) microcoil, by assembling together multiple surface micromachined microparts. A microgripper, which is bonded to the end-effector of a robotic workstation, is able to remove a micro-part from a MEMS chip, reorient the micro-part in space, move it to a secondary location, and join it to another micro-part. In this way, complex 3D microstructures can be assembled from a set of initially planar and parallel micro-parts. The microcoil is built from four loop elements, each 200 μm tall by 140 μm wide. The loop is closed by a base structure on the substrate, and the loops are spaced 50 μm apart. This four-loop microcoil is 200 × 140 × 200 μm in size. Using the described microassembly method, it is possible to fabricate microcoils with many loop elements of various sizes, spaced as closely as 25 μm apart.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".