Transforming smart homes: The role of autonomous navigation and spatial computing in modern home automation

The integration of autonomous navigation and spatial computing is transforming smart homes from basic remote‐controlled devices into sophisticated ecosystems capable of perceiving, understanding, and adapting to their environments. In this paper, we propose a novel evaluation framework that quantitatively benchmarks spatial awareness technologies in residential settings. Our methodology integrates advanced sensor fusion, edge computing, and adaptive mapping algorithms to assess system performance, integration efficiency, and user experience. Experimental results demonstrate significant improvements in energy management, security, and personalized automation, while addressing interoperability challenges and ensuring privacy preservation. Our work provides actionable insights for optimizing smart home technologies and outlines a roadmap for future research.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17230777
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Transforming smart homes: The role of autonomous navigation and spatial computing in modern home automation

Zenodo (CERN European Organization for Nuclear Research)
Mathematics, Computing, and Information Processing
article

Transforming smart homes: The role of autonomous navigation and spatial computing in modern home automation

article en

Abstract

The integration of autonomous navigation and spatial computing is transforming smart homes from basic remote‐controlled devices into sophisticated ecosystems capable of perceiving, understanding, and adapting to their environments. In this paper, we propose a novel evaluation framework that quantitatively benchmarks spatial awareness technologies in residential settings. Our methodology integrates advanced sensor fusion, edge computing, and adaptive mapping algorithms to assess system performance, integration efficiency, and user experience. Experimental results demonstrate significant improvements in energy management, security, and personalized automation, while addressing interoperability challenges and ensuring privacy preservation. Our work provides actionable insights for optimizing smart home technologies and outlines a roadmap for future research.

Zenodo (CERN European Organization for Nuclear Research)
Amazon (United States) (US)
Openalex Percentile: Top 44%
Mathematics, Computing, and Information Processing
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