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Record W1993917518 · doi:10.1109/iros.2010.5652506

Fabrication and analysis of dielectric-elastomer minimum-energy structures for highly-deformable soft robotic systems

2010· article· en· W1993917518 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDielectric materials and actuators
Canadian institutionsnot available
FundersMcMaster University
KeywordsElastomerRobotMaterials scienceDielectricDielectric elastomersComponent (thermodynamics)Work (physics)Soft roboticsMechanical engineeringScope (computer science)Computer scienceComposite materialPhysicsEngineeringArtificial intelligenceOptoelectronics

Abstract

fetched live from OpenAlex

Dielectric-elastomer minimum-energy structures (DEMES) form an emerging class of soft robotic systems. The appropriate materials and methods for rapidly fabricating DEMES prototypes are described. A DEMES component suitable for use in highly-deformable soft robots is presented and analyzed. Combinations of this component into snakelike robots are also presented. Calculations for determining the upper limit of a DEMES's mechanical work output, electromechanical efficiency, and energy density are described. The scope of the DEMES design-space and future research paths are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.363

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 head0.005
GPT teacher head0.193
Teacher spread0.189 · 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

Citations78
Published2010
Admission routes1
Has abstractyes

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