1A2-A23 Development of Assistance Robot for Metal Mold Grinding : Comparison of Surface-roughness by the Number of Whetstone in Plane Grinding
Why this work is in the frame
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Bibliographic record
Abstract
This study aims at the construction of a robotic system that can precisely grind metal molds instead of skilled persons. For example, in case of plastic products like cellular phones, the surface-roughness must be from about 0.1 to 0.03 micrometers. Usually, it takes seven to eight hours for rough grinding and two to three hours for finishing grinding even if a skilled person grinds, which costs a lot of money. Development of an automatic grinding system will reduce the costs. Therefore, the goal of this study is to develop such a system. We use an industrial robot with six joints, and soft and ceramic whetstone to grind molds. We conducted some basic experiment and found that the robot can grind the mold as smooth as human to some extent.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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