Motion compensation for maritime cranes during time-varying operations at the pendulum’s natural frequency
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Bibliographic record
Abstract
In this paper, a framework for relative motion compensation is presented and demonstrated via simulation with kinematic crane-tip control. The method allows for compensation relative to a fixed platform or world-frame (ship-to-shore/platform transfer), a secondary moving body (ship-to-ship transfer), or the host body itself (on-deck operations) without modification. The system utilizes Motion Reference Units (MRUs) which are located on the host ship and the payload/hook. Sensor fusion is performed on the MRU data using real-time complementary filters to estimate the relative motion. The frequency response of the system is investigated, and practical considerations are discussed through a series of case studies, which include time-varying trajectories. Within simulation, the results show that the complementary filter estimates the orientation of the ship and payload under dynamic conditions. The resulting controller provided an improvement of 35 dB attenuation at the natural frequency of the pendulum relative to the uncompensated system. The case study of a pick-and-place operation demonstrates that the proposed system produces an order-of-magnitude reduction in the error metrics for the tracking performance and pendulum suppression. A hardware implementation reduced 83.8% of the motion for the worst-case natural frequency tests and up to 48.3% for the trajectory experiments.
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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