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Record W2204589919 · doi:10.1109/iros.2015.7353599

Modelling and experimental analysis of a novel design for soft pneumatic artificial muscles

2015· article· en· W2204589919 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsActuatorPneumatic actuatorComputer scienceTrajectoryDisplacement (psychology)Elasticity (physics)Mechanism (biology)Process (computing)Artificial muscleControl theory (sociology)SimulationMechanical engineeringControl engineeringArtificial intelligenceEngineeringMaterials sciencePhysicsControl (management)

Abstract

fetched live from OpenAlex

Soft pneumatic artificial muscles (SPAMs) are a type of pneumatic actuator that provide customizable motion trajectories in three dimensional space without the need for rigid links or a transmission mechanism. This paper presents a novel design for producing SPAMs, named wrapped SPAMs (WSPAMs). Unlike previous SPAM designs, the production process of WSPAM is highly repeatable, while the motion trajectory can be easily modified. A model for predicting the steady-state angular displacement of a WSPAM actuator based on its geometrical parameters and the elasticity of the materials used in its production is presented and experimentally validated.

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 score0.630
Threshold uncertainty score0.180

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 head0.137
GPT teacher head0.290
Teacher spread0.153 · 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

Citations15
Published2015
Admission routes1
Has abstractyes

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