A Comparative Study of Navigability and Cleaning Efficiency in Robot Vacuum Cleaners

This study evaluates 2025 robot vacuum models (WAP Robot W90, Positivo Smart Robô Aspirador Wi-Fi Laser PRA1000, and Xiaomi Mi Robot Vacuum-Mop 2 Lite) using random, LiDAR, and vSLAM navigation, respectively. It combines a controlled experimental study (featuring OpenCV-based heatmaps, area-coverage analysis, and debris-collection ratios) with an LLM-based sentiment and thematic analysis of user reviews on navigability and cleaning efficiency. The paper provides a repository that includes recorded videos, calibration data, analysis code, and LLM prompts, supporting full reproducibility of the reported metrics and enabling future research on robot vacuum navigation and cleaning performance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22030564
Primary Topic
Robotics and Sensor-Based Localization
Type
preprint
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preprint

A Comparative Study of Navigability and Cleaning Efficiency in Robot Vacuum Cleaners

Gustavo B. Figueiredo, Cássio Prazeres, Frederico Araújo Dur�ão, Eduardo Santana de Almeida et al.
Zenodo (CERN European Organization for Nuclear Research)
Robotics and Sensor-Based Localization
preprint

A Comparative Study of Navigability and Cleaning Efficiency in Robot Vacuum Cleaners

Gustavo B. Figueiredo, Cássio Prazeres, Frederico Araújo Dur�ão, Eduardo Santana de Almeida, Ivan Machado, Danilo Barbosa Coimbra, Maycon Peixoto, Rodrigo Rocha Gomes e Souza, Enio Garcia de Santana Junior, Guilherme Castro Hora Fontes
preprint en

Abstract

This study evaluates 2025 robot vacuum models (WAP Robot W90, Positivo Smart Robô Aspirador Wi-Fi Laser PRA1000, and Xiaomi Mi Robot Vacuum-Mop 2 Lite) using random, LiDAR, and vSLAM navigation, respectively. It combines a controlled experimental study (featuring OpenCV-based heatmaps, area-coverage analysis, and debris-collection ratios) with an LLM-based sentiment and thematic analysis of user reviews on navigability and cleaning efficiency. The paper provides a repository that includes recorded videos, calibration data, analysis code, and LLM prompts, supporting full reproducibility of the reported metrics and enabling future research on robot vacuum navigation and cleaning performance.

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal da Bahia (BR), Hospital Ana Nery (BR)
Industry, innovation and infrastructure
Robotics and Sensor-Based Localization
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