Microassembly of 3D micromirrors as building elements for optical MEMS switching
Bibliographic record
Abstract
A robotic-based microassembly process has been successfully applied to the construction of a novel micro-mirror design for use in optical switching. This paper is devoted to the description of the microassembly process used to construct the 3D micro-mirror. The microassembly process is based upon the PMKIL (Passive Microgripper, Key and Inter-Lock) assembly system. Details of the assembly process include, the methodology to construct the micro-mirror, the design of the micro-mirror parts, and the design of the tools (microgrippers) that are mounted to the robot to handle the micro-parts. The results of the assembly process are presented, along with examples of prototype 3D micro-mirrors. The entire 3D micromirror consists of a novel electro-static rotary motor, onto which the 3D mirror structure is assembled. The 3D micro-mirror is used as a building element for 1 N optical switching systems and for N×M optical crossconnects.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".