Independent Position Control of Two Magnetic Microrobots via Rotating Magnetic Field in Two Dimensions
Bibliographic record
Abstract
This paper introduces new strategy for motion control of two spinning magnetic agents based on the magnetic-fluidic interactions. The approach relies on balance between magnetic attraction and hydrodynamic repulsion forces created by fluidic vortices around pairs of microagents, which allows the control on inter-agent pair heading and spacing. The proposed method only requires a single global input, i.e., frequency of the rotating magnetic field along with a small magnetic field gradient, to control the motion of two microagents and therefore is simple to implement. Detailed finite element analysis is performed to explore the system behaviour. Finally, as experimental demonstration, two microagents are maneuvered by a global magnetic field to be independently positioned in the plane of motion with average root mean square errors of 140 micrometers and 5.68 degrees in separation and pair heading angle states, respectively.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 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 teacher head, 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".