Aerial robotic technologies for civil engineering: established and emerging practice
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
Aerial robotic technology has potential for use in a wide variety of civil engineering applications. Such technology potentially offers low-cost methods to replace expensive structural health monitoring activities such as visual inspection. Aerial robots also have potential uses in civil construction and for regional surveys. This paper presents the results of a review on the applications of aerial robotic technology in civil engineering. Such civil engineering applications can be classified into three broad areas: (i) monitoring and inspection of civil infrastructure; (ii) site management, robotic construction, and maintenance; and (iii) post-disaster response surveys and rapid damage assessments. The motivations for uptake of aerial robotics in the civil engineering industry generally fall into the following categories: (i) cost savings, (ii) improved measurement capability, and (iii) safety improvements. The categories of aerial robotic use in civil engineering are then classified as either “established” or “emerging” uses.
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 | 0.001 |
| 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 | 0.001 |
| 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