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Record W3084194898 · doi:10.32393/csme.2020.1279

Jacobian Formulation for Two Classes of Cooperative Continuum Robots

2020· article· en· W3084194898 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress in Canadian Mechanical Engineering. Volume 3 · 2020
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsJacobian matrix and determinantRobotComputer scienceControl engineeringControl theory (sociology)Artificial intelligenceMathematicsEngineeringApplied mathematicsControl (management)

Abstract

fetched live from OpenAlex

Continuum robots (CRs) are an important class of robots inspired by the biological counterparts. Recently, a new paradigm of using multiple CRs, under cooperative continuum robots (CCRs), has been introduced to increase the performance of CRs. The motivation behind this work is to provide a detailed discussion on the concept of CCRs and a detailed description of its two different sub-configurations, including Co-manipulative and Target-assist CCRs. This paper also presents kinematic modeling and Jacobian derivation of these two sub-configurations. It has been shown that kinematics of Co-manipulative CCRs could be well estimated using the DH approach; while, for deriving kinematics of the second subconfiguration, a combination of DH approach and an exact kinematic modeling approach, using Cosserat rod theory, has to be used. The obtained Jacobians could be used for control purposes and CR-based grasp synthesis.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.998

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 head0.015
GPT teacher head0.244
Teacher spread0.229 · 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