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 field of soft actuators and robotics has garnered considerable attention in recent years, driven by their distinct properties to adapt to diverse environments and enable secure and engaging interactions with humans. While current literature highlights a significant body of work on various soft actuators, it is noteworthy that the concept of soft sleeve actuation remains unexplored, as it has not yet been proposed. The concept of soft sleeve actuation represents a significant leap forward in the field of robotics, heralding tremendous potential for diverse applications, particularly for wearable robotics. This paper introduces a novel soft sleeve actuation mechanism, encompassing the development of two actuators capable of generating linear and bending motion. These actuators are lightweight and capable of generating considerable force and motion. Using Fused Deposition Modeling technology, a comprehensive fabrication framework was adopted to overcome manufacturing variability and fabricate high-quality airtight actuators. The mechanical performance of the proposed soft sleeve actuators (SLA) was investigated through a custom-built experimental testing setup. The impact of geometric parameters and material stiffness on the behavior of the developed actuators is studied and discussed.
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 | 0.000 |
| 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