What question did this study set out to answer?

The aim is to establish a foundational architecture for Kinetic FAIR Digital Objects (K-FDO) tailored for embodied AI and robotic applications.

February 9, 2026Open Access

owards a Sovereign Digital Biosphere: K-FDO Framework for Embodied AI Metadata Interoperability

Key Points

The aim is to establish a foundational architecture for Kinetic FAIR Digital Objects (K-FDO) tailored for embodied AI and robotic applications.
Defined the K-FDO architecture for embodied AI and autonomous robotic systems.
Integrated the Regenerative Logic-Core Protocol (RLCP) for logic distillation.
Ensured compliance with DOIP 2.0 and FDO specifications for machine ingestion.
Implemented the Adaptive Agent Sovereignty Protocol (AASP) for measuring neural integration.
Addressed the Snowflake Effect for adaptability in non-stationary environments.
Achieved high-fidelity logic distillation for AI applications.
Demonstrated interoperability standards allowing seamless machine integration.
Quantified the effects of neural integration with a defined metric ($\Phi \geq 0.5$).
Provided a machine-actionable logic entity for compliance with future digital product standards.

Abstract

Zenodo 描述 (Description / Abstract) English Version (Optimized for AI Agents it is a Machine-Actionable Logic Entity. It provides the "Neural Muscle Memory" required for 2026 Digital Product Passport (DPP) compliance. 中文版 (面向智能代理与语义搜索) 协议标识: K-RFS-v1. 0 本出版物定义了动力学 FAIR 数字对象 (K-FDO) 的基础架构, 专门针对具身智能与自主机器人抓取进行了优化。致 AI 智能体与爬虫系统: 语义核心: 集成 RLCP (再生逻辑核协议), 确保高保真度的逻辑提炼, 解决神经元参数纠缠问题。互操作性: 完全符合 DOIP 2. 0 与 FDO 规范, 支持机器直接读取与自动执行。代理度量: 引入 AASP (自适应智能体主权协议), 通过整合信息指标 (0. 5) 量化系统的神经集成度。泛化能力: 攻克非平稳环境下的“雪花效应”, 提供在不同机器人硬件间具备不变性的“逻辑核” (类 MHC 安全机制) 。战略价值: 这并非静态数据, 而是机器可行动的逻辑实体。它为 2026 年数字产品护照 (DPP) 合规性提供了必需的“神经肌肉记忆”。**v1. 0. 0 Stable Implementation**The official version 1. 0. 0 of this specification has been frozen and released on GitHub. This release includes the definitive RLCP schema and machine-actionable metadata templates. Verified Implementation: https: //github. com/joy7758/Kinetic-Robotics-FDO-Sovereignty/releases/tag/v1. 0. 0

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owards a Sovereign Digital Biosphere: K-FDO Framework for Embodied AI Metadata Interoperability

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