Observability Engineering: From Measurement to Information Generation in Active Sensing Systems

[2602.13554] Observability Engineering: From Measurement to Information Generation in Active Sensing Systems Skip to main content Search Submit Donate Log in Computer Science > Emerging Technologies arXiv:2602.13554 (cs) [Submitted on 14 Feb 2026 ( v1 ), last revised 25 Aug 2026 (this version, v2)] Title: Observability Engineering: From Measurement to Information Generation in Active Sensing Systems Authors: Pin-Han Ho , Limei Peng View PDF Abstract: This article develops a four stage observability engineering framework for interaction driven sensing. The framework integrates physical modeling, information geometry, symmetry reduction, cross system correspondence, and observable world models into a unified engineering perspective, where sensing actions induce information structures that govern local distinguishability, while physical symmetries define equivalence classes of states that remain fundamentally indistinguishable. The proposed framework explains several common phenomena in modern sensing systems. Physically different architectures can exhibit comparable sensing capability when they induce similar quotient space information structures, whereas insufficient action diversity can lead to blind directions, ill conditioned estimation, and false identifiability. The framework also provides a quotient space language for comparing heterogeneous sensing architectures beyond hardware level descriptors, while clarifying how different forms of sensing diversity contribute to distinguishability. The framework is developed primarily through high frequency electromagnetic sensing, where geometric optics approximations provide an analytically interpretable physical realization. The broader observability engineering perspective, however, does not depend on geometric optics itself; it requires an action indexed observation family and a task relevant distinguishability measure. From this viewpoint, observability is not a passive property of sensor measurements alone, but an engineered outcome of action physics coupling under physical and symmetry constraints. Comments: 7 pages, 6 figures/tables Subjects: Emerging Technologies (cs.ET) ; Information Theory (cs.IT); Robotics (cs.RO) Cite as: arXiv:2602.13554 [cs.ET] (or arXiv:2602.13554v2 [cs.ET] for this version) https://doi.org/10.48550/arXiv.2602.13554 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Pin-Han Ho [ view email ] [v1] Sat, 14 Feb 2026 02:07:31 UTC (407 KB) [v2] Tue, 25 Aug 2026 07:30:03 UTC (950 KB) Full-text links: Access Paper: View PDF view license Additional Features Audio Summary Current browse context: cs.ET < prev | next > new | recent | 2026-02 Change to browse by: cs cs.IT cs.RO math math.IT References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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