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Record W4213009345 · doi:10.30958/ajte.9-1-1

Flexible Robot Programming using Solid Edge’s “Alternative Assemblies”

2022· article· en· W4213009345 on OpenAlexaff
Norman Urs Baier, Joel Costan Zovi

Bibliographic record

VenueAthens Journal of Τechnology & Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsCADRobotTask (project management)Enhanced Data Rates for GSM EvolutionComputer scienceEngineering drawingSoftwareTree (set theory)Computer Aided DesignManufacturing engineeringEngineeringSystems engineeringArtificial intelligenceOperating system

Abstract

fetched live from OpenAlex

Many assembly processes in small and medium-sized enterprises are still performed by human labour. One reason for this is the need for another expert to program the robot, which would simply not fit into the company structure. To address this issue a solution is developed, which allows to program the robot directly out of the CAD software. The positions of the parts are read out of the CAD file. Specific assembly instructions have to be given by the assembly developer and integrated in the tree structure of the CAD. To avoid collisions and ensure correct insertion angles, additional waypoints are given by alternate assemblies, a functionality within Solid Edge to create and use variations of an assembly. Keywords: assembly, task planning, intelligent and flexible manufacturing, CAD

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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
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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueAthens Journal of Τechnology & EngineeringSame topicManufacturing Process and OptimizationFrench-language works237,207