Dynamic Gait Generation and Control based on Mechanical Energy Restoration
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
Dynamic gait generation of legged robots can considered as a problem to generate limit cycles in a phase space from the mathematical point of view. One of the basic necessary conditions of dynamic walking is to restore the mechanical energy that is dissipated by an impact between the swing leg and the floor at the transition instant. Energy-effective dynamic gait generation then yields the problem on how to restore the mechanical energy effectively during the swing phase. This paper first unifies the gait generation methods proposed so far by introducing a variable virtual gravity concept and two solution formulas. Taking up the energy tracking control and virtual passive dynamic walking as two typical methods, the paper analyzes the control performances from the view of points of energy efficiency and robust stability through numerical simulations. The obtained results are evaluated based on some criterion, and the conditions for maximum efficiency are theoretically clarified. Throughout this paper, we aim to clarify mathematical principle of energy-effective dynamic walking.
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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