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Record W2143970076 · doi:10.1109/tmech.2011.2121090

Bilateral Macro–Micro Teleoperation Using Magnetic Levitation

2011· article· en· W2143970076 on OpenAlex

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

VenueIEEE/ASME Transactions on Mechatronics · 2011
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTeleoperationHaptic technologyMagnetic levitationMechanism (biology)SimulationLevitationPosition (finance)PropulsionTracking (education)Computer scienceControl theory (sociology)RobotEngineeringControl engineeringMechanical engineeringArtificial intelligenceMagnetPhysicsAerospace engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper introduces a novel magnetic-haptic micromanipulation platform with promising potential for extensive biological and biomedical applications. The platform has three basic subsystems: a magnetic untethered microrobotic system, a haptic device, and a scaled bilateral teleoperation system. A mathematical force model of the magnetic propulsion mechanism is developed, and used to design PID controllers for magnetic actuation mechanism. A gain-switching position-position teleoperation scheme is employed for this haptic application. In experimental verifications, a human operator controls the motion of the microrobot via a master manipulator for dexterous micromanipulation tasks. The operator can feel force during microdomain tasks if the microrobot encounters a stiff environment. The effect of hard contact is fed back to the operator's hand in a 20 mm × 20 mm × 30 mm working envelope of the proposed platform. Conducting several experiments under different conditions, rms of position tracking errors varied from 20 to 40 μm.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.600
Threshold uncertainty score1.000

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)0.0010.000

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 head0.037
GPT teacher head0.217
Teacher spread0.181 · 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