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Record W3114781992 · doi:10.1115/detc2000/mech-14150

A Mechatronics Approach to Safe, Stable Teleoperation in Medical Applications

2000· article· en· W3114781992 on OpenAlexaff
David Wang, Gilbert Lai, Carmen M. Caradima

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTeleoperationHaptic technologyMechatronicsTeleroboticsComputer scienceWorkstationFocus (optics)RobotVirtual realitySimulationWork (physics)Human–computer interactionEngineeringArtificial intelligenceMobile robotMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Currently, remote interactions between patient and surgeon/doctor are limited to visual and audio aspects only. The general objective of the research presented in this paper is to explore force feedback teleoperation to improve the doctor/surgeon’s abilities. A control strategy is proposed which transmits forces, does not need expensive force sensors, and can be shown to be always stable. This technique should work for all “linear” haptic devices. The mechatronics approach has been taken in the mechanical design of the haptic devices to ensure linearity. The work presented in this paper will focus on the interactions between two haptic devices: the Virtual Reality Mouse 1 (VR Mouse), and a 5-bar linkage robot. Time delay issues involved in the teleoperation will also be discussed. The technique proposed in this paper will result in a very inexpensive workstation for teleoperation applications.

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 categoriesInsufficient payload (model declined to judge)
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 score0.952
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)0.0030.001

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 head0.007
GPT teacher head0.210
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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

Citations0
Published2000
Admission routes1
Has abstractyes

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