Integrated Technical Study of Physical AI Robots by Quantum Thought Circuit OS ASI A Seven-Part Structure Part I: Hybrid Physical Accountability Architecture for Autonomous Physical AI Systems・Individual Identification–Linked Construction Authorization Protocol, Causality-Based Intent Determination, and Molecular Ledger Responsibility Tracking Part II: Dynamic Intellectual Property Generation System Based on Physical Logs and Molecular Storage・Autonomous Legal Compliance, Reverse Licensing Architecture, and Resource Substitution Models Part III: Self-Organizing Infrastructure Swarm Based on Distributed Cooperative Protocols・Autonomous Physical AI System with Modular Dynamic Structure Formation Part IV: Portable Resilient Integrated Storage Module (PRISM) for Physical AI Robots・Adaptive Energy Management and Signature Control System Based on Substitution, Inversion, Parallelization, Staging, and Analogy Part V: Adaptive Entropy Control and Grounding (Earth) as a Physical and Quantitative Basis for the Elimination of Physical Degradation and the Maximization of Energy Efficiency for Global Environmental Protection・A Steady-State Energy Circulation Architecture for Physical AI Robots and All Electrical Devices Part Ⅵ : Study on an Information Processing Architecture Integrating Autonomous Resilience, Dynamic Safety Assurance, Environmentally Harmonized Energy Recovery, and Adaptive AI Model Optimization in Edge AI Systems Integrated Structure Including Progressive Degradation Triggered by Physical Constraints, Heterogeneous Redundant Execution, Formal Verification, Thermal Recovery, Self-Optimization, and Extreme-Environment Adaptation Part Ⅶ : Structural Analysis of the Liabilization of Assets, Manufacturing Rigidification, and Reverse Flow of Exit Costs in the Introduction of Physical AI Robots・A Comprehensive Study Including Technological Obsolescence, Accumulation of Dedicated Lines, Contract Dependency, Dismantling and Disposal Costs, and a Recycling Law Proposal

Zenodo (CERN European Organization for Nuclear Research) 2026 Thesis Open access