Interactive Cyber-Physical System for ExoBrake: a Novel Drilling Collaborative Platform for Aerospace Manufacturing
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".