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Record W2162552936 · doi:10.1115/1.3023137

Wireless Swimming Microrobot: Design, Analysis, and Experiments

2008· article· en· W2162552936 on OpenAlex
Yongshun Zhang, Guangjun Liu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Dynamic Systems Measurement and Control · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPropulsionWirelessFinRobotRange (aeronautics)Power (physics)Power consumptionHead (geology)SimulationComputer scienceAcousticsEngineeringMarine engineeringMechanical engineeringAerospace engineeringPhysicsArtificial intelligenceTelecommunicationsGeology

Abstract

fetched live from OpenAlex

This paper presents a bidirectional wireless swimming microrobot that has been developed, analyzed, and experimentally tested. The robot is developed based on fin beating propulsion, using giant magnetostrictive films for head and tail fins. An innovative drive approach, using separate second order resonance frequencies of the head and tail fins to generate forward and backward thrusts, is proposed and implemented on a bidirectional swimming microrobot prototype. Dynamic model of the proposed microrobot has been derived based on theoretical analysis. Simulation and experimental results have demonstrated the feasibility of the proposed drive approach and design. The developed swimming microrobot features a low driving frequency, low power consumption, and a large range of swimming speed in both the forward and backward directions.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.566
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.023
GPT teacher head0.226
Teacher spread0.203 · 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