Tool Accessibility Analysis for Robotic Drilling and Fastening
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.
Bibliographic record
Abstract
Robotic applications in aerospace manufacturing and aircraft assembly today are limited. This is because most of the aircraft parts are relatively crowded and have complex shapes that make tasks like robotic drilling and fastening more challenging. These challenges include tool accessibility, path, and motion planning. In this paper, a process methodology was developed to overcome the tool accessibility challenges facing robotic drilling and riveting for aircraft parts that are located in crowded work environments. First, the tool accessibility was analyzed based on the global accessibility area (GAA) and the global accessibility volume (GAV) to determine the accessible boundaries for parts with zero, one, and two surfaces curvatures. Then, the path for the tool was generated while taking in consideration the approachability planning. This approach generates a number of intermediate points that enable the tool to maneuver around obstacles to reach the final target points if they are accessible. Last, a software application was developed to simulate the drilling and riveting tasks, and to validate the proposed process. The results of the simulation confirmed the proposed methodology and provided a numerical feedback describing the level of crowdedness of the work environment. The accessibility percentage can then be used by the design team to reduce the design complexity and increase the level of tool accessibility.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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 it