Meta-Network Architecture: A Paradigm Shift in Evolutionary Biomechanics and Robotic Control
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| Format: | Recurso digital |
| Langue: | anglais |
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2026
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| _version_ | 1866901535201427456 |
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| author | Gorelik, Monya |
| author_facet | Gorelik, Monya |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19762649 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Meta-Network Architecture: A Paradigm Shift in Evolutionary Biomechanics and Robotic Control Gorelik, Monya ISAI, Kinegenesis Meta-Network Axial Wave Natural Movement Biomechanics Robotics Morphological Intelligence Humanoid Robotics <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> |
| title | Meta-Network Architecture: A Paradigm Shift in Evolutionary Biomechanics and Robotic Control |
| topic | ISAI, Kinegenesis Meta-Network Axial Wave Natural Movement Biomechanics Robotics Morphological Intelligence Humanoid Robotics |
| url | https://doi.org/10.5281/zenodo.19762649 |