Monitoring the Postural Stability of Planar Bipedal Robots using the Moment-Height Stability Measure
Bibliographic record
Abstract
Abstract Robotics researchers have studied the stability maintenance requirements of bipedal robots since they are inherently unstable. An accurate postural stability measure is required to monitor their dynamic equilibrium conditions. In this article, the novel Moment-Height Stability (MHS) measure, which has previously been developed for monitoring the postural stability of wheeled mobile robots, is developed for that of bipedal robots. The performance of the MHS is evaluated with that of the well-known postural stability measure Zero-Moment Point (ZMP). The MHS and the ZMP are applied to two types of manoeuvres of a planar bipedal robot, consisting of standing up and swinging forward. Simulation results reveal that both the ZMP and the MHS predict the same instant for the occurrence of postural instability for the biped; the MHS warns the biped that the potential of postural instability amplifies once the overall height of the biped center of mass (CM) starts elevating, while the ZMP does so immediately before the occurrence of postural instability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".