Research on Landing Collision Experiment of Gecko Robot with Bio-inspired Dry Adhesive Foot
Bibliographic record
Abstract
The adhesion robot has better adhesion performance in a vacuum than others, such as magnetic absorption robot and vacuum adsorption robot. It has broad application prospect and far-reaching practical significance in the field of space On-Orbit Servicing Robots. The stability motion of the adhesion robot on a flat surface has been studied in depth, but the problem of the impact force between the adhesion robot and the flat surface when landing on the surface, which is an inevitable problem that the adhesion robot lands on the flat surface and achieve stable, has been researched little. Therefore, this article has researched about the impact process between adhesion robots and flat surfaces. An impact experiment about the bionic foot was performed on a self-built experimental platform. It reveals the state of motion and the changes of the force between the bionic foot and the flat surface at the moment of impact. The conclusions have been verified on the gecko-inspired robot, and are of great significance for the future adhesion robot to achieve a stable landing on a target surface.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".