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Record W2099129263 · doi:10.1109/robot.2006.1642202

Bilateral control of a teleoperator for soft tissue palpation: design and experiments

2006· article· en· W2099129263 on OpenAlex
Mahdi Tavakoli, Rajni V. Patel, Mehrdad Moallem

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsTeleoperationHaptic technologyPalpationContext (archaeology)Computer scienceSurgical instrumentTask (project management)TeleroboticsRobotHuman–computer interactionSimulationTransparency (behavior)EngineeringArtificial intelligenceSurgeryMedicineMobile robot

Abstract

fetched live from OpenAlex

In robot-assisted interventions, providing a surgeon with haptic information regarding contacts made between surgical instruments and tissue can improve task performance and reliability. In this paper, a force-reflective user interface is used with a sensorized surgical instrument to form a master-slave test-bed for studying haptic interaction in a soft-tissue endoscopic surgery environment. After modeling and parametric identification of the master and the slave, bilateral controllers are designed and teleoperation experiments involving a single degree of freedom surgical task on soft tissue (palpation) are conducted. The transparency of the teleoperator in terms of transmitting the critical task-related information to the user in the context of soft-tissue surgical applications is investigated

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.234

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)0.0000.000

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Quick stats

Citations23
Published2006
Admission routes1
Has abstractyes

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