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Record W2114298530 · doi:10.1109/robot.2000.846381

A novel manipulator architecture for the production of SCARA motions

2002· article· en· W2114298530 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
TopicModular Robots and Swarm Intelligence
Canadian institutionsMcGill University
Fundersnot available
KeywordsSCARAKinematicsRotation (mathematics)Control theory (sociology)Motion (physics)Computer scienceEngineeringRobotArtificial intelligencePhysicsClassical mechanics

Abstract

fetched live from OpenAlex

SCARA denotes a class of 4-DOF manipulators that exhibit a finite stiffness in four directions of their motion space, while being infinitely stiff in the remaining two directions. These four directions comprise translation along three axes and rotation about one single axis. Therefore, a SCARA is noncompliant in two directions of rotation. SCARA systems were originally developed for assembly tasks. We term here any motion with the foregoing features a SCARA motion. Current manipulators producing this class of motions are invariably designed with a common architecture, namely, three revolutes and one prismatic joint, the latter being indistinctly collocated either at the proximal to the base or at the distal joint. We introduce here a novel architecture producing SCARA motions that is based on what is known as a II-joint, as introduced elsewhere. The kinematics of this manipulator is fully 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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.135

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 head0.042
GPT teacher head0.224
Teacher spread0.182 · 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

Citations54
Published2002
Admission routes1
Has abstractyes

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