SMA knot fabric haptic actuators based on zero Poisson's ratio meta-structure
Bibliographic record
Abstract
Soft haptics has been developed with XR technology and human-machine interaction, providing tactile and kinesthetic feedbacks. For realistic tactile sensations, it is essential to implement various types of haptic feedback. However, haptic interfaces that provide multiple tactile patterns have limitations in that they are bulky, uncomfortable to wear, and do not adhere well to the skin. The cork structure, with a Poisson's ratio of 0 (ZPR), which does not decrease or increase laterally when deformed, has inspired the design of SMA wire knot structure in a ZPR meta-structure. The objective is to develop an easy-to-wear haptic interface that does not require pressing or loosening of the skin, creating unique 2D and 3D sliding tactile feedback dependent on the induced current magnitude. It can deliver the shear sensation in a virtual reality environment and provide directional spatial information for robotic teleoperation.
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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) | 0.001 | 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".