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Record W2146079019 · doi:10.1109/icra.2011.5979928

Kinematic design of a planar and spherical mechanism for the abduction of the fingers of an anthropomorphic robotic Hand

2011· article· en· W2146079019 on OpenAlexaff
Louis-Alexis Allen Demers, Clément Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsKinematicsMechanism (biology)PlanarComputer scienceMechanism designRobotic handRobot kinematicsRobotArtificial intelligencePhysicsMathematicsClassical mechanicsComputer graphics (images)Mobile robot

Abstract

fetched live from OpenAlex

This paper presents the kinematic design of an abduction mechanism for the fingers of an anthropomorphic robotic hand. This mechanism enhances the range of feasible grasps of the underactuated hand without significantly increasing its complexity. Two architectures are investigated: one is purely planar while the other uses a spherical mechanism in conjunction with a planar linkage. The analysis of the planar mechanism between the index finger and the third finger is first assessed, in which the parameters are determined in order to satisfy the constraints on the motion ranges while minimizing the coordination error. Then, the study of the mechanism joining the third finger and the little finger is summarized, followed by the analysis of the spherical mechanism. Finally, prototypes of the fingers' abduction systems using the two proposed architectures are presented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.210
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations9
Published2011
Admission routes1
Has abstractyes

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