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Record W2978352220 · doi:10.1109/lra.2019.2945468

Workspace Determination and Feedback Control of a Pick-and-Place Parallel Robot: Analysis and Experiments

2019· article· en· W2978352220 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

VenueIEEE Robotics and Automation Letters · 2019
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsWrenchWorkspaceRobotTrajectorySMT placement equipmentGenerator (circuit theory)SimulationComputer scienceTracking (education)Control engineeringControl (management)EngineeringControl theory (sociology)Mechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The authors report on the analysis and experimental evaluation of a parallel Schönflies-motion generator (SMG) intended for fast pick-and-place operations and actuated with cylindrical drives (C-drives). Its CRRHHRRC isostatic architecture offers high rotability of the moving platform and a reduced number of limbs, as compared to robots available on the market. A simulation model using the dynamics of the robot as well as an experimental prototype are described. The results obtained are used to assess the pros and cons of two alternative C-drive architectures.A workspace analysis including the feasible wrenches is conducted. The industry standard Adept test cycle is used to evaluate the performance of the prototype. The data obtained prove that C-drives augmented with strain-wave gears give the SMG significantly better wrench capabilities and lower trajectory-tracking error, compared to their alternative C-drives based on cables.

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 score0.524
Threshold uncertainty score0.530

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 head0.005
GPT teacher head0.201
Teacher spread0.197 · 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