Zenodo

Axis 0 - Technical: Reconstructing the Human "Mobile Structure" with Robotic 6-DOF & Vertex AI

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Abstract

1. General Information • Philosophy: Conceptualizes the human body as a "Mobile Structure" where the skeletal system acts as compression members and tendons/ligaments serve as tension members. 2. Core Metrics • R_age Index (Mechanical Attrition Index): Quantifies accumulated stress and the phase transition of fascia from Sol (liquid) to Gel (solid). • Factor of Safety (FoS): Integrated into Google Vertex AI as a protective safeguard, automatically adjusting robotic force based on tissue strength. • 1ms Force Feedback: The system terminates execution within 1 millisecond if the FoS approaches a critical threshold to ensure absolute safety. 3. Technology Ecosystem • Advanced Simulation: Utilizes FEA (Finite Element Analysis) to mesh the body for micro-fracture detection and CFD (Computational Fluid Dynamics) to optimize fascia fluid flow. • Digital Management: Creates a Digital Twin from LiDAR data to track the lifecycle and rejuvenation progress of the physical entity. • Gamification: Translates complex technical data into "Quests," allowing users to interact intuitively with the robot via AR heat maps.

The paper

Zenodo, 3 May 2026, Open access, CC BY-NC, Preprint, not peer-reviewed

doi.org/10.5281/zenodo.19998523