Improvement of an aerodynamic model for biomimetic flapping-wing robots
Bibliographic record
Abstract
Biomimetic flapping-wing robot is a new type of miniature air vehicle mimicking birds or insects to fly, with many unique advantages that traditional fixed-wing and rotary-wing aircrafts do not possess. Unsteady aerodynamics at low Reynolds number is the main theory applied to the flight analysis of such air vehicles with flapping-wings, and it is still a big challenge. Various models have recently been built for flapping-wing robots. However, these models are just approximate and need improvement. In this paper, we first design the flight parameters of a flapping-wing robot with geometric similarity, introduce a basic aerodynamic model, and then address optimization of the important flight parameters including duration of downstroke and upstroke, wingspan, chord width of the aerofoil and angle of attack. We perform simulations to illustrate and verify the feasibility and effectiveness of the improved model.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".