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Record W2979678038 · doi:10.1109/marss.2019.8860954

Independent Position Control of Two Magnetic Microrobots via Rotating Magnetic Field in Two Dimensions

2019· article· en· W2979678038 on OpenAlexaff
Mohammad Salehizadeh, Zhaoxin Li, Eric Diller

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMagnetic fieldHeading (navigation)Rotating magnetic fieldFluidicsPhysicsPosition (finance)Motion controlClassical mechanicsMechanicsControl theory (sociology)EngineeringComputer scienceControl (management)Electrical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.004
GPT teacher head0.235
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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