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Record W2012105728 · doi:10.1109/biorob.2010.5625949

A 7-DOF haptics-enabled teleoperated robotic system: Kinematic modeling and experimental verification

2010· article· en· W2012105728 on OpenAlexafffund
Simon Perreault, Ali Talasaz, Ana Luisa Trejos, Christopher D. Ward, Rajni V. Patel, Bob Kiaii

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsLawson Health Research InstituteWestern UniversityUniversité Laval
FundersUniversité Laval
KeywordsTeleoperationHaptic technologyKinematicsComputer scienceSimulationReflection (computer programming)TeleroboticsRobot end effectorRobotArtificial intelligenceMobile robotPhysics

Abstract

fetched live from OpenAlex

The purpose of this paper is to demonstrate the development of a novel 7-degree-of-freedom teleoperated robotic system that provides force reflection to the surgeon's hands while performing minimally invasive surgery and therapy (MIST). An endoscopic tool has been sensorized and modified for use as the end effector of this haptics-enabled system. In this paper, mathematical models required for controlling the main components of the system have been determined and experimentally validated. Several experiments have been performed with this MIST robotic system in order to compare its force exertion capabilities with those of the da Vinci system from Intuitive Surgical Inc. Force reflection from the slave to the master in the new system is also demonstrated experimentally.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score0.553

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 head0.011
GPT teacher head0.209
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2010
Admission routes2
Has abstractyes

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