Senior Software Engineer at Amazon Lab126, CA.
World Journal of Advanced Research and Reviews, 2025, 26(01), 1792-1805
Article DOI: 10.30574/wjarr.2025.26.1.1227
Received on 01 March 2025; revised on 08 April 2025; accepted on 11 April 2025
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.
Smart Home Evaluation Framework; Hybrid Fusion Architecture; Adaptslam; Hybrid edge Processing; Multi-Modal Sensor Integration; Privacy-Preserving Spatial Computing; Matter Protocol Interoperability
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Prashant Anand Srivastava. Transforming smart homes: The role of autonomous navigation and spatial computing in modern home automation. World Journal of Advanced Research and Reviews, 2025, 26(01), 1792-1805. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1227.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0