A Hazard-Informed Data Pipeline for Robotics Physical Safety

Alexei Odinokov; Rostislav Yavorskiy

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arXiv · 2603.06130

A Hazard-Informed Data Pipeline for Robotics Physical Safety

Alexei Odinokov·Rostislav Yavorskiy

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Abstract

This report presents a structured Robotics Physical Safety Framework based on explicit asset declaration, systematic vulnerability enumeration, and hazard-driven synthetic data generation. The approach bridges classical risk engineering with modern machine learning pipelines, enabling safety envelope learning grounded in a formalized hazard ontology. The key contribution of this framework is the alignment between classical safety engineering, digital twin simulation, synthetic data generation, and machine learning model training.

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BibTeX RIS

Alexei Odinokov, Rostislav Yavorskiy. 2026-03-06. A Hazard-Informed Data Pipeline for Robotics Physical Safety. https://arxiv.org/abs/2603.06130

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