Transitions between level flight and hovering for a fixed-wing mini aerial vehicle
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
This article describes a control strategy to bridge the autonomous transition between level and hovering flight of a fixed-wing mini-aerial vehicle. These autonomous transitions, combined with the level-flight and hovering modes, would permit dangerous missions like reconnaissance in hostile or restricted areas. Then, there are four flight modes during a mission : the level-flight, the level-flight to hovering (L2H), the hovering, and the hovering to level-flight (H2L). The model structures for both level-flight and hovering modes are based on the linearization of a six-degree-of-freedom rigid body model of a fixed-wing mini-aerial vehicle. Controllers for both main flying modes are presented. The L2H mode is managed by the level-flight controller, whereas the H2L is managed by the hovering controller. A systematic approach based on a logic-based switching supervisor is developed to manage the transition between modes. Experimental results of a mini-aerial vehicle testbed which uses the switching supervisor are presented.
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 | 0.000 | 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