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Record W2270018934 · doi:10.1139/tcsme-2007-0039

TOWARD THE DESIGN AND SIMULATION OF A NEW GENERATION OF RECONFIGURABLE SPACE MANIPULATORS USING TELESCOPING PASSIVE JOINTS

2007· article· en· W2270018934 on OpenAlexaffvenue
Paul D. N. Hebert, Charles Tatossian, M. Caims, Farhad Aghili, Kourosh Parsa, Alexei A. Morozov

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsCanadian Space AgencyMcGill University
Fundersnot available
KeywordsTelescoping seriesModular designRobotic armRobotComputer scienceWork (physics)Control engineeringDegrees of freedom (physics and chemistry)SimulationEngineeringMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This work presents the analysis, simulation, design, and assembly of a three-degree-of-freedom reconfigurable robotic arm. Unlike conventional reconfigurable robots, the final design illustrated in this paper does not achieve re-configurability through modular joints; instead, it is equipped with passive telescopic joints. These passive joints allow the robotic arm to change its Denavit-Hartenberg parameters via an innovative braking system. The robotic arm itself presents many advantages; not only is it versatile to perform various tasks, but it can be packed into a small volume, as usually required for launch in space applications.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.068
GPT teacher head0.247
Teacher spread0.179 · 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 designSimulation or modeling
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

Citations4
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicModular Robots and Swarm IntelligenceFrench-language works237,207