Embedded Piezo-actuation System for Automatic Motion Control of a Fleet of Miniature Robots Operating on a Synchronized Vibrating Platform
Bibliographic record
Abstract
A piezo-actuation system based on a three-legged pyramidal configuration with the apex pointing upward and designed to be embedded onto miniature instrumented robots conceived for operations at the nanometer-scale is briefly introduced. The piezo-actuation system is designed to provide small increments required to position an embedded scanning probe microscope (SPM) tip within the range of the instrument. The deflection amplitude of the piezo-actuators provides the SPM tip with a dynamic range appropriate to achieve atomic resolution. The locomotion system operates at high resonant frequencies in order to achieve higher displacement speeds through a larger number of steps executed per second. To achieve high-throughput operations throughout the platform, the displacement speed of the robots become a critical issue since no SPM-based operations can be performed during travel. To provide a supplemental force, a software-controlled vibrating platform is used to increase the displacement speed of each robot. Synchronization between the piezo-actuation system of each robot and the vibrating platform is done through software interrupts generated by an embedded inertial micro-switch.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".