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Record W1602093745 · doi:10.1109/iros.1993.583854

Screw axis measurement for kinematic calibration of the Sarcos Dextrous Arm

2002· article· en· W1602093745 on OpenAlexafffund
John M. Hollerbach, L. Giugovaz, M. Buehler, Yazhou Xu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsMcGill University
FundersOffice of Naval ResearchNatural Sciences and Engineering Research Council of Canada
KeywordsJacobian matrix and determinantKinematicsCalibrationScrew axisTorquePosition (finance)Computer scienceControl theory (sociology)Orientation (vector space)Tracking (education)Point (geometry)Measure (data warehouse)Computer visionSimulationArtificial intelligenceMathematicsPhysicsGeometry

Abstract

fetched live from OpenAlex

A recently developed kinematic calibration technique for six degree-of-freedom (DOF) arms, the Jacobian measurement method, is generalized to include underconstrained and overconstrained arms. Using joint torque sensing and a wrist six-axis force/torque sensor to measure the Jacobian, experimental results are presented for the first five DOFs of the Sarcos Dextrous Arm. Results are compared to two standard calibration methods, i.e., open loop calibration and circle point analysis. Measurements of endpoint position and orientation were obtained with the Optotruk and the Bird sensor, two commercial motion tracking systems.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.165

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 head0.035
GPT teacher head0.192
Teacher spread0.157 · 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
GenreMethods

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

Citations12
Published2002
Admission routes2
Has abstractyes

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