End Position Detection of Industrial Robots Based on Laser Tracker
Why this work is in the frame
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Bibliographic record
Abstract
The end position of industrial robots cannot be measured directly. To solve the problem, this paper proposes an end position detection method for industrial robots based on laser tracker. First, the target ball was fixed onto the end flange of a six degree-of-freedom (DOF) industrial robot by the laser target. Then, the conversion between different coordinate systems was obtained through two experiments. In the first experiment, the end of the robot rotated about the axes of the robot tool coordinate system (RTCS). The second experiment is about the single-joint rotation of the robot. Based on the conversion relationship, the author computed the deviation of the end position read on the robot controller from the position that the end actually arrives at. Experimental results show that the proposed method is feasible for online detection of the end position for industrial robots. The research lays the basis for calibrating geometric parameters of industrial robots, and provides a guide on improving the positioning accuracy of industrial robots.
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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 | 0.000 | 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 | 0.000 | 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 it