Towards Development of a One-Port Resonant Sensor for Robotic-Based Microassembly Force Measurement
Bibliographic record
Abstract
A basic analytical and simulation model of a novel integration of a double-ended tuning fork (DETF) resonant force sensor into a compliant, passive microgripper is presented. The proposed design consists of three main parts: a microgripper, a microlever system, and a one-port, parallel-plat DETF force sensor. A stress relief spring is utilized as a passive temperature compensation method, which reduces the force sensor sensitivity to the ambient temperature change by 86%. DETF sensitivity to a change in the ambient temperature is numerically evaluated. On the other hand, the frequency dependence on forces, less than 120 μ N, is also studied. In particular, the sensor is specifically designed to be only sensitive to the normal forces (i.e., microgripping forces) in the microgripper jaw. This condition reduces unnecessary model complexity. However, this approach works for microgripping forces larger than 100 μ N. The simplicity of the force sensor, however, provides strong motivation and feasibility for their use in microgripping and microassembly applications
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".