Stability Geometry of Biomimetic Robotics

Description This white paper introduces Stability Geometry of Biomimetic Robotics (SG-BR) — a conceptual and computational framework that shifts the focus of biomimetic robotics from anatomical imitation to the principles of adaptive stability. The central hypothesis is that biological morphology emerges as a consequence of long-term optimization for adaptive stability under physical, energetic, informational, and environmental constraints, rather than being the primary target of evolution. The framework proposes: Biomimetic Configuration Space — a multidimensional representation integrating mechanical, energetic, sensory, computational, learning, environmental, and task domains; Biomimetic Stability Functional — a scalar measure evaluating the overall adaptive quality of robotic configurations; Adaptive Stability Manifold and Variational Principle of Adaptive Stability — geometric and variational tools for analyzing adaptive trajectories and recoverability. SG-BR aims to provide a unifying systems-level language for designing robust, recoverable, and adaptive robotic systems across diverse domains (humanoids, soft robots, swarms, etc.), moving from form imitation toward organizational principles of biological resilience. Author: Roman Borisovich Lukin (Independent Researcher, Bishkek, Kyrgyz Republic) Version: 1.0 (June 2026) This work is presented as a conceptual research program intended to stimulate discussion, mathematical development, and experimental validation in biomimetic engineering and embodied intelligence.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-26
DOI
https://doi.org/10.5281/zenodo.21369571
Primary Topic
Robotic Locomotion and Control
Type
preprint
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preprint

Stability Geometry of Biomimetic Robotics

Roman Lukin
Zenodo (CERN European Organization for Nuclear Research)
Robotic Locomotion and Control
preprint

Stability Geometry of Biomimetic Robotics

Roman Lukin
preprint en

Abstract

Description This white paper introduces Stability Geometry of Biomimetic Robotics (SG-BR) — a conceptual and computational framework that shifts the focus of biomimetic robotics from anatomical imitation to the principles of adaptive stability. The central hypothesis is that biological morphology emerges as a consequence of long-term optimization for adaptive stability under physical, energetic, informational, and environmental constraints, rather than being the primary target of evolution. The framework proposes: Biomimetic Configuration Space — a multidimensional representation integrating mechanical, energetic, sensory, computational, learning, environmental, and task domains; Biomimetic Stability Functional — a scalar measure evaluating the overall adaptive quality of robotic configurations; Adaptive Stability Manifold and Variational Principle of Adaptive Stability — geometric and variational tools for analyzing adaptive trajectories and recoverability. SG-BR aims to provide a unifying systems-level language for designing robust, recoverable, and adaptive robotic systems across diverse domains (humanoids, soft robots, swarms, etc.), moving from form imitation toward organizational principles of biological resilience. Author: Roman Borisovich Lukin (Independent Researcher, Bishkek, Kyrgyz Republic) Version: 1.0 (June 2026) This work is presented as a conceptual research program intended to stimulate discussion, mathematical development, and experimental validation in biomimetic engineering and embodied intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Robotic Locomotion and Control
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