Simultaneous measurement of flexible robotic link deflection and rotation using position sensing detectors
Bibliographic record
Abstract
It is well known that the flexibility of robotic links causes deformation and reduced positioning accuracy of the robot at the end-effector. This problem becomes more complicated when the links are made of new materials, such as composite. Various approaches including strain gauges, fiber Bragg grating, computer vision and optoelectronics have been applied to solve the problem. This work proposes an optoelectronic method with a reduced number of position sensing detectors and laser diodes to determine both bending and torsion deformations of a robotic link. The attachment of two optoelectronic sensors on the link and the two laser dots produced on these sensors by diodes provide the data required for computations. The tip deflection values are obtained using trigonometric functions. Both iterative and explicit methods of link tip movement have been analysed for efficiency and accuracy. The methods have been validated experimentally and error analysis has been performed.
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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 | 0.000 | 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 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".