Sciences of Artificial Intelligence 

A Structural Interaction Framework for Maintaining Human System Integrity in Reduced-Gravity Environments
Integrating Rotational Dynamics and AI-Mediated Alignment for Functional Stability

ABSTRACT

Human performance degradation in reduced-gravity environments remains a critical limitation in long-duration spaceflight. Existing countermeasures primarily address muscle preservation and linear force production, but do not resolve the system-level organization required for functional movement and effective environmental interaction.

This proposal introduces a structural interaction framework that reframes performance loss not as a deficit in strength, but as a loss of functional access to coordinated movement systems. Human capability is governed by the interaction of gravitational input, rotational dynamics, and neurological coordination. When this structure is disrupted, the result is instability, inefficiency, and reduced operational performance.

To address this, we propose a Functional Gravity Simulation System designed to restore rotational organization and coordinated movement through multi-directional resistance and adaptive input. This system is supported by Turner AI, a structure-based interaction architecture that evaluates system organization, detects deviation, and maintains functional access under changing conditions.

Rather than relying solely on traditional output measures such as strength or endurance, this framework evaluates structural integrity, access, and alignment within the human system. Human movement under altered gravity conditions serves as a controlled and measurable domain for assessing system stability, enabling quantifiable evaluation of both degradation and recovery.

This approach has direct applications for astronaut training, in-flight performance maintenance, and post-mission rehabilitation. It also supports broader advances in human–AI interaction, robotics, and adaptive system design. The findings suggest that preserving structural organization—not only physical capacity—is essential for sustaining human function in complex environments.

Functional Gravity: Organizing Physical Systems and Intelligence Under Constraint 

Abstract

Classical and relativistic models describe gravity as either a force between masses or the curvature of spacetime, successfully predicting large-scale motion. However, these formulations do not account for how systems maintain the capacity to function within gravitational constraint. This paper proposes an extension to gravitational theory termed functional gravity, defined as the internal organizational capacity required for a system to generate, regulate, and sustain interaction within a gravitational field. By introducing rotational organization, internal buoyancy, and transition continuity as fundamental variables, this framework shifts gravity from a purely external interaction to a condition that necessitates organization. This approach provides a unified basis for understanding physical systems, biological function, and artificial intelligence under constraint.

Turner AI is an adaptive organizational intelligence company focused on movement analysis, human performance, developmental systems, and AI-assisted operational assessment.

Our work integrates artificial intelligence, movement science, systems architecture, and observational analysis to study how humans adapt under stress, transition, gravity, and environmental change.

Turner AI develops frameworks for:

• movement deviation analysis,

• adaptive performance monitoring,

• rehabilitation and habilitation systems,

• astronaut and operational readiness concepts,

• AI-assisted video assessment,

• and organizational intelligence modeling across complex environments.

Our approach focuses on identifying stress patterns, transition integrity, compensation pathways, and adaptive organization through measurable observational systems.

Current initiatives include federal SBIR development, aerospace and defense-aligned research concepts, AI-assisted assessment frameworks, and next-generation organizational intelligence systems designed to support high-consequence operational environments.