Real-time planning of a lifting scheme in mobile crane mounted controllers
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
Ensuring the safety and efficiency of crane operation is challenging due to the complexity of the lifting operation. The real-time lifting path planning system developed in this paper aims to provide an optimized, collision-free lifting path for mobile crane operators. The first contribution of the developed system is to take advantage of crane mounted sensors and components as the hardware to collect object information. No additional device needs to be purchased. Secondly, the data storage, path planning, optimizing, and visualizing functions are designed to minimize the required computer memory so that the system can be installed and applied on the crane mounted controller for real-time operation. No additional calculation capacity is required. This system has been tested in real construction sites and demonstrated its ability to generate lifting paths satisfying operators’ expectation. The system, as an independent software package, can be installed on any mobile cranes mounted with the necessary hardware.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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