From Mechanical Execution to Intellectually Defined Control of Physical Interaction: K-PRINCIPLE, I-DPM, Krimanov CyberActuator, K-PEL, KRIMANOV DEMETER / DEMETER K and I-DPM Neurointerface in vivo
Description
This publication is the English translation of the original Russian public technical disclosure published on 17 July 2026 under DOI: 10.5281/zenodo.21419949.
This publication records the authorship, terminology, architectural principle and new technical level developed by Aleksandr Krimanov in the field of physical-field execution systems for artificial intelligence.
CORE CONCEPT- KRIMANOV DEMETER introduces I-DPM — Intellectually Defined Processing of Materials — as a response-driven cognitive-physical new paradigm in which the measurable physical response of a material environment becomes the basis for the synthesis of the subsequent field interaction.
The work introduces the KRIMANOV PRINCIPLE, hereinafter K-PRINCIPLE, according to which a previous physical action returns as a measurable response of the material environment, updates the model of its current state and determines the synthesis of the next spatiotemporal configuration of physical interaction.
The I-DPM architecture — Intellectually-Defined Processing of Materials — extends artificial intelligence from the control of predetermined machines to the model-defined synthesis of physical interaction with matter itself. Its physical executor is the Krimanov CyberActuator: a class of model-controlled, reconfigurable physical-field actuators combining probing, response registration, identification, current-state modeling, selective action and verification within one causally closed real-time process.
At the industrial level, the architecture forms KRIMANOV DEMETER / DEMETER K: a transition from mass excavation, destruction and processing of the environment to intelligent resource harvesting based on prior detection, identification, selective physical separation, movement and collection of a target component while minimizing the displacement of non-target environmental mass.
The publication also defines the Krimanov Physical Execution Layer — K-PEL — as the system-level physical execution layer of Physical AI, and establishes the I-DPM ARIADNE Loop, operational self-sufficiency, distributed swarm execution, intelligently defined energy transfer, dynamic impedance and phase matching, intelligent field skin and the open architectural framework of I-DPM Neurointerface in vivo.
The architecture is the subject of an international PCT patent application claiming priority from patent applications filed in 2025. This publication does not replace the patent application and does not limit the scope of the claimed invention. It constitutes a dated public technical disclosure and defensive publication of the disclosed terminology, architecture and technical level.
Original Russian publication:
Aleksandr Krimanov, От механического исполнения — к интеллектуально определяемому управлению физическим взаимодействием: K-PRINCIPLE, I-DPM, Krimanov CyberActuator, K-PEL, DEMETER K и I-DPM Neurointerface in vivo, published 17 July 2026.
DOI: 10.5281/zenodo.21419949
English edition DOI:
10.5281/zenodo.21459555
Audio version of I-DPM (AI voiceover) in English is available for listening at
https://e.pcloud.link/publink/show?code=XZfbPoZxLSDv2Yzi9JlneFz9InOJ5SALj6V
Abstract (English)
Background: Traditional physical execution layers in autonomous and intelligent systems remain predominantly mechanically predetermined, relying either on fixed-function tools and mechanisms (Level 1.0) or on adaptive control of functionally fixed actuators (Level 2.0). This creates a fundamental gap between dynamically evolving computational intelligence and structurally limited physical interaction with matter.
Methodology: The Krimanov Principle, or K-PRINCIPLE, establishes a transition to Level 3.0 physical execution through a causally closed loop:
Rn→Mn→Wn→Rn+1.Key innovations:
I-DPM — Intellectually-Defined Processing of Materials: an architecture in which the object of intellectual definition is not merely a command or mechanical trajectory, but the physical profile of interaction itself, including the topology, spatial distribution, frequency, phase, amplitude, direction and temporal sequence of electromagnetic, acoustic, optical, thermal, plasma or combined actions.
I-DPM ARIADNE Loop: a continuous causal thread connecting targeted probing, response registration, current-state modeling, synthesis of action, physical change, verification and formation of the next cycle within the same causally connected area.
Sub-relaxation operation: a real-time regime in which the next configuration is formed while the registered response remains causally applicable to the current state of the interaction area. The general condition is:
τcycle ≤ τrelaxation
A preferred deep sub-relaxation regime is:
τcycle ≤ 0.1 · τrelaxation
Applications: At the industrial level, the KRIMANOV DEMETER / DEMETER K paradigm replaces mass excavation and bulk processing with intelligent resource harvesting: prior detection, identification, selective physical separation, movement, collection and verification of a target component while minimizing the displacement of non-target environmental mass. In the energy branch, I-DPM enables dynamically matched transfer, localization and distribution of energy through changing heterogeneous environments. The publication also establishes an open architectural framework for I-DPM Neurointerface in vivo, in which probing, response registration, individual current-state modeling, action and verification form a bidirectional Neuro-K-Loop under dynamic neurohomeostasis constraints.
Conclusion: The Krimanov Principle provides a foundational architecture for the physical execution layer of Physical AI. It transforms the material environment from a passive object, resistance or source of disturbance into a causally integrated informational-physical node whose current response participates in determining the next physical interaction. The resulting transition is from control of machines to intellectually defined synthesis of physical interaction with matter.
Files
I-DPM_K-PRINCIPLE_DEMETER_K_NEURO_v1_3_EN_ZENODO.pdf
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Related works
- Is variant form of
- Publication: 10.5281/zenodo.21419949 (DOI)