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April 27, 2026Open Access

Meta-Network Architecture: A Paradigm Shift in Evolutionary Biomechanics and Robotic Control

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Authors

MGMonya Gorelik

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Overview

Introduces a new paradigm in biomechanics and robotics, proposing adaptive control systems for efficient movement.

Key Points

  • The aim is to establish the Meta-Network Architecture as a foundational theory for biomechanics and robotic control, focusing on movement dynamics.
  • Introduces the concept of the Meta-Network based on Kinegenesis and Formless Flow.
  • Describes movement as an emergent property of dynamic and reconfigurable systems.
  • Proposes an evolutionary framework spanning organizational structures from amoebas to advanced limb coordination.
  • Demonstrates the benefits of Maximum Dynamic Relaxation in enabling continuous force transmission and energy efficiency.
  • Highlights the potential for non-linear movement through state regulation and topological reconfiguration.
  • Suggests a fundamental shift from traditional trajectory control to state-driven morphological intelligence in robotics.

Cite This Study

Monya Gorelik (2026) studied this question.

synapsesocial.com/papers/69eefdb5fede9185760d4731https://doi.org/10.5281/zenodo.19762649
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