Analysis of an Optical Force Sensor for Haptic Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this project is to evaluate a midpriced 3-axis optical force sensor for low force applications, such as the validation of haptic devices. By applying a range of static loads, the sensor was calibrated, and the hysteresis, repeatability, and non-linearity of the sensor was analysed. The results of the sensor testing were compared to the manufacturer specifications and to the requirements for using the sensor to measure the force output by a haptic device. Custom components for testing the sensor were designed and 3D printed. The sensitivity of the sensor was found to have deteriorated over time. The sensor exhibited significant hysteresis and non-linearity for low forces, though the results with respect to the nominal capacity agreed with the manufacturer specifications. The sensor was determined to have acceptable results in resolution, accuracy, and repeatability for use in the validation of haptic systems. The sensor was shown to retain a reading of 10 % of the loaded force after it was unloaded, which may invalidate the sensor for use in some applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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