<i>Ocyropsis</i>‐Inspired Fast‐Swimming Transparent Soft Robots
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
Abstract Marine creatures achieve effective survival in unstructured ocean environments via fast swimming or transparent camouflage. Aqueous soft robots, capable of reproducing soft features of marine creatures, have the advantages of safe biological interaction, high environmental adaptation, and noise‐free when compared with traditional rigid robots. Yet, there exists a persistent challenge to develop both fast and energy‐efficient aqueous soft robots that can achieve better underwater operation or exploration. Enlightened by the morphology and swimming strategy of Ocyropsis — a jellyfish‐like creature, Ocyropsis ‐inspired robots (i.e., Ocyrobots) that merge electro‐hydraulic actuation and Ocyropsis ‐type rowing mechanisms to achieve high‐performance underwater locomotion are developed. Ocyrobots demonstrate a record‐high speed of 1.1 body length/s, which is approximately three times of previously reported fastest jellyfish‐like robots while maintaining a low power consumption of 37 mW. Ocyrobots also exhibit an impressive turning speed of 34° s −1 , enabling dexterous locomotion and effective obstacle avoidance in confined underwater scenarios. Attributed to the self‐developed highly reliable polymer‐based ionic gel, Ocyrobots possess remarkable advantages of full transparency and high durability, which improves their lifetime and reduces potential disturbances to underwater ecosystems. The unprecedented biomimetic idea in this study is essential in enlightening the prototyping of future aqueous soft robotics.
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