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Interactive Cyber-Physical System for ExoBrake: a Novel Drilling Collaborative Platform for Aerospace Manufacturing

2025· article· W4417250388 on OpenAlexaff
Erfan Dilfanian, Aghilès Yousfi, Seyedhossein Hajzargarbashi

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsClampingAerospaceDrillingVisualizationInterface (matter)Task (project management)User interfaceGraphical user interface

Abstract

fetched live from OpenAlex

A cyber-physical system with digital twins is developed for the designed ExoBrake — a novel drilling collaborative platform capable of withstanding large clamping forces. Traditional robotic manipulators for aerospace drilling operations are huge, expensive, and lack safety, while cobots, which are more affordable and safer, cannot produce the required clamping force for the drilling process. However, we designed ExoBrake as an add-on kit for a cobot —currently under patent application— which can produce and withstand the required clamping force for drilling stacked metallic sheets in aerospace manufacturing. Moreover, an interactive Cyber-Physical System (CPS) with a graphical user interface is developed for ExoBrake, including online digital twins of ExoBrake, the workpiece, and the test bed. This CPS replicates digitally the assembly of the cobot-ExoBrake and enables the operator to configure the workpiece, define and execute drilling tasks. The main novelty of this CPS is the interactive drilling task definition from the workpiece geometry itself, rendered in the visualization panel. It also controls the entire system and drilling sequence. Experiments are conducted to ensure the CPS functions to apply a specific clamping force and control it during the drilling process.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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