Efficient Control of an AUV-Manipulator System: An Application for the Exploration of Europa
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
Autonomous control of a robotic manipulator mounted on a submersible autonomous underwater vehicle (AUV) is simulated with various strategies employing combinations of feedback and feedforward control. Feedforward compensation of the manipulator motion is accomplished using a model of the system kinematics and dynamics. Hydrodynamic effects including drag, buoyancy, and added mass, as well as the reaction of the vehicle, are all compensated. Effective manipulator position control is accomplished through stabilization of the vehicle orientation and system barycenter. Stabilization of the vehicle position using feedback and/or feedforward control is also considered for comparison. Compensation of the hydrodynamic effects while stabilizing the vehicle orientation and allowing vehicle translation resulted in a significant reduction in power consumption. Although experimental verification of the results is required, the improvement in efficiency may be beneficial for submersible vehicles operating in extremely remote conditions or extraterrestrial environments such as the oceans of Jupiter's moon, Europa.
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 | 0.001 | 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