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| Auteur principal: | |
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| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2026
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| Sujets: | |
| Accès en ligne: | https://doi.org/10.5281/zenodo.19762649 |
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Table des matières:
- <p>This paper introduces the Meta-Network Architecture as a new paradigm in biomechanics and robotic control, based on the foundational theory of Kinegenesis and the methodology of Formless Flow.</p> <p>Unlike the traditional kinetic chain model, which represents the body as a sequence of rigid segments, the Meta-Network describes movement as an emergent property of a dynamically reconfigurable system organized across multiple scales.</p> <p>At its core is the Axial Wave — a three-dimensional helical propagation through the body enabled by Maximum Dynamic Relaxation (MDR), allowing continuous force transmission, reduced energy loss, and self-organizing motion.</p> <p>The Meta-Network operates through state regulation and topological reconfiguration (node opening and blocking), producing non-linear movement outcomes from identical initial impulses.</p> <p>An evolutionary framework is proposed, integrating functional layers from amoeba-like undulatory organization to advanced limb coordination in mammals and apes.</p> <p>The implications extend to artificial intelligence and robotics, suggesting a shift from trajectory-based control to state-driven morphological intelligence, enabling adaptive, energy-efficient, and low-latency systems.</p> <p>This work proposes a transition from control of movement to organization of conditions for movement, offering a foundation for next-generation biomechanical models and robotic architectures.</p>