1A1-D08 Study on Metal Mold Polishing Robot : Experiment on Flat Surface Polishing under Constant Polishing Pressure Condition(Robots for Works)
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Bibliographic record
Abstract
The final goal of this study is to develop a robotic system that can precisely polish metal molds instead of skilled persons. We have been trying to build such a system using an industrial robot with six joints, and soft and ceramic whetstones to polish metal molds. In this paper, we build a machine that can polish under constant polishing pressure condition. Then, we conducted an experiment to uncover relationships between the number of polishing and surface roughness. As a result, we found out that surface roughness was almost same when the number of polishing varied. However, the standard deviation of the surface roughness varies according to the number of polishing. Also we attached a six axes force sensor to an industrial robot to measure forces during polishing.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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