Zapisane w:
| 1. autor: | |
|---|---|
| Format: | Recurso digital |
| Język: | angielski |
| Wydane: |
Zenodo
2025
|
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.5281/zenodo.16543758 |
| Etykiety: |
Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
|
Spis treści:
- <p>This paper presents the first full-system thermodynamic projection of Tesla Optimus whole‑body motor control using a Φ‑Field fixed‑point attractor framework. By modeling the actuator, limb, and whole‑body control hierarchy as a recursive energy‑stability system, the analysis quantifies explicit ΔG costs and Φ‑coherence thresholds for gait, manipulation, and coordinated movement.</p> <p><br>Key results (CSP‑verifiable):</p> <p><br>• Walking gait: +87.6 kcal/step net (~51% efficiency gain over baseline control)<br>• Object manipulation: +198 kcal/10 s reach+grasp (~37% efficiency gain)<br>• Whole‑body coordination: ~60% ΔG reduction via recursive attractor hierarchy<br>• System Φ_coherence: Φ ≈ 4.2 (stable efficiency plateau)<br>• Peak power: ~800 W; average walking: ~400 W</p> <p><br>These results match known Optimus actuator, sensor, and energy budgets. The recursive attractor mapping shows that multi‑level coordination stabilizes at Φ ≈ 4.2, with potential for Φ ≈ 4.8 through learned predictive control. This establishes a formal energetic blueprint for energy‑optimal humanoid motor control and adaptive robotics.</p> <h2><strong>DOI Link to Related Work</strong> (optional):<br><a href="https://doi.org/10.5281/zenodo.16342661" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.16342661</a> — for the foundational Φ-Field paper </h2> <h2>This paper's solution is fully compatible with classical mathematics via the new CSP projection bridge. See DOI: <a href="https://zenodo.org/records/16623512">https://doi.org/10.5281/zenodo.16623512</a> for the full framework</h2> <p> </p>