Optimal preview control of the Nao biped robot using a UKF-based state observer
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, an optimal preview controller for the Nao biped robot is developed based on a three-dimensional linear inverted pendulum model and zero moment point stability criterion. In order to estimate the unmeasurable state vector, an unscented Kalman filter state observer is proposed which guarantees robustness of the control loop through loop transfer recovery and provides asymptotic stability of the error covariance. This approach necessitates developing and utilizing forward and inverse kinematic analysis. Inverse kinematic relations are employed within the controller as an estimator of joint angles given positions of the zero moment point and center of mass trajectories. The results show effectiveness of the proposed preview controller and the observer scheme to achieve a stable walk.
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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