MétaCan
Menu
Back to cohort
Record W2050110447 · doi:10.1115/detc2010-28718

Closed-Loop Transmission Routings for Cartesian SCARA-Type Manipulators

2010· article· en· W2050110447 on OpenAlexaff
Thierry Laliberté, Clément Gosselin, Dalong Gao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsSCARACartesian coordinate systemKinematicsControl theory (sociology)InertiaComputer scienceRobotRobot kinematicsControl engineeringEngineeringMathematicsArtificial intelligenceMobile robotPhysics

Abstract

fetched live from OpenAlex

SCARA-type manipulators are widely used in industry. SCARA motions can be produced by serial SCARA arms or by Cartesian rail-mounted mechanisms, such as in overhead cranes. This paper focusses on the latter mechanisms which are referred to here as Cartesian SCARA-type manipulators. When such mechanisms are actuated, the motors are generally moving, which increases the inertia of the system. In this paper, several closed-loop cable/belt routings are proposed in order to allow the actuation of Cartesian SCARA-type manipulators from four actuators fixed to the ground. Then, the kinematic analysis of these routings is performed, which reveals that decoupled actuation is possible and leads to great advantages regarding the power needed. Finally, preferred routings are selected and an example of application is given.

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 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: Methods · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.458

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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicRobotic Mechanisms and DynamicsFrench-language works237,207