Limbless movement simulation with a particle‐based system
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
Abstract Snakes and other limbless animals continue to attract the close attention of scientists because of their unique locomotion abilities. This paper presents a novel approach to limbless movement simulation. We built our simulation framework using position‐based dynamics. We describe the body configuration of snakes using different types of distance constraints. The limbless movement is based on the formulation of a friction constraint to model the behavior of a snake's scales. In our approach, it is easy to solve collisions between objects and self‐collisions for simulated snakes. Our model includes a dynamic geometrical environment colliding with simulated animals. Detailed patterns are presented for four main types of limbless movement: serpentine, rectilinear, concertina, and sidewinding. Finally, we present the process of computing the final smooth visual mesh from the physical simulation data. This paper concludes with several simulation scenarios showing the high‐quality results of our framework for limbless movement simulation.
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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