Research and Design of Human-Robot Collaborative Riveting Workstation for Aircraft Intake Ducts
Bibliographic record
Abstract
Riveting is one of the core processes in aircraft assembly. human-robot collaborative riveting, by integrating human flexibility with the high-precision characteristics of robots, has become an important development direction for intelligent assembly. This study constructed a digital twin system for the human-robot collaborative riveting workstation of aircraft based on the Robot Studio platform, innovatively completing:1) Modular workstation layout design; 2) Adaptation transformation of mechanical equipment for riveting processes; 3) Multimodal control logic architecture based on SMART components; 4) Simulation verification for dynamic collaborative operation; 5) The reliability of riveting quality has been validated through ANSYS simulation and human-machine collaborative experimentation. This digital twin system provides a reusable technical solution for the aviation assembly field, breaking through the balance problem between precision and flexibility in human-robot collaboration and filling the domestic gap in the efficiency of flexible assembly processes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".