Temperature Independent Triaxial Force and Torque Sensor for Minimally Invasive Interventions
Bibliographic record
Abstract
In this article, a triaxial force and torque sensor is developed and its response is evaluated. The sensor is designed for minimally invasive interventions. The fabrication method of the sensing structure is 3-D printing and the material used is a biocompatible acrylic plastic. Optical fibers are used as sensing elements in this sensor and the working principle is based on the Bragg wavelength shift of Bragg gratings. The response of the sensor is highly linear along all axes of measurement with the range of working around 0.7 N. The sensor has a high resolution of force and torque measurement which are 0.05 N and 0.1 Nmm, respectively. Experiments show that the sensor can accurately measure the applied force in a dynamic environment. Experiments are conducted to evaluate the thermal response of the sensor. The results show that the sensor can measure all components of the applied forces and torques to the surgery instruments without temperature cross-sensitivity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".