GUARA Platform: A Modular Edge-AI Framework for Behavioral Observability Across Safety-Critical Environments

Volume 3 of the GUARA Research Series. This publication introduces GUARA Platform as a modular Edge-AI framework for behavioral observability across safety-critical environments. The document defines the conceptual foundations of the platform, including Behavioral Observability, Operational Functional State, privacy-by-design principles, hardware independence, temporal behavioral assessment, human-centered Artificial Intelligence, and cross-domain adaptability. The proposed framework is intentionally described at a conceptual level and does not disclose proprietary algorithms, scoring methods, thresholds, calibration procedures, internal decision logic, software modules, or implementation-specific mechanisms. This volume establishes the foundational architecture for future GUARA Platform research across transportation, mining, industrial automation, security operations, critical infrastructure, aviation research, and related domains.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-27
DOI
https://doi.org/10.5281/zenodo.20948479
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

GUARA Platform: A Modular Edge-AI Framework for Behavioral Observability Across Safety-Critical Environments

Diego Martin Pedraza
Zenodo (CERN European Organization for Nuclear Research)
Human-Automation Interaction and Safety
article

GUARA Platform: A Modular Edge-AI Framework for Behavioral Observability Across Safety-Critical Environments

Diego Martin Pedraza
article en

Abstract

Volume 3 of the GUARA Research Series. This publication introduces GUARA Platform as a modular Edge-AI framework for behavioral observability across safety-critical environments. The document defines the conceptual foundations of the platform, including Behavioral Observability, Operational Functional State, privacy-by-design principles, hardware independence, temporal behavioral assessment, human-centered Artificial Intelligence, and cross-domain adaptability. The proposed framework is intentionally described at a conceptual level and does not disclose proprietary algorithms, scoring methods, thresholds, calibration procedures, internal decision logic, software modules, or implementation-specific mechanisms. This volume establishes the foundational architecture for future GUARA Platform research across transportation, mining, industrial automation, security operations, critical infrastructure, aviation research, and related domains.

Zenodo (CERN European Organization for Nuclear Research)
BC Platforms (Finland) (FI)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Human-Automation Interaction and Safety
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