Robotics lab.. Chinese Academv of Sciences
Bibliographic record
Abstract
In this paper we present a visual navigation system for retrieving untethered autonomous underwater vehicle (AW). The vision qstern guides the.4LV into a retriever which is a tethered underwater robot. The visual navigation modules include target searchin & line tracking, and positioning. The vision system is a dedicated parallel image processor composed of three T800 (Transputer). The processing speed and positioning precision meet the needs of AIJV close-loop control. Untethered Am? retrieve will be done underwater 50 meter depth. In fact, the retriever is a tethered underwater robot (Fig. 1). The retriever is connected with vessel through the relay. The cable is about 100 meters long. The retriever have two movable arms. When the unttthcred AUV is guided into the retriever, the retricvcr's arms will close tightly. Then the retriever together with the AUV will be hauled up to the sea surface and returns to the vessel. I.
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.
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) | 0.000 | 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 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".