Design and Implementation of an AI-Based Cleaner for Ceilings and Floors

Traditional cleaning methods, particularly for ceilings, are laborious and time-consuming, often requiring separate tools for different surfaces. This paper presents a novel robotic cleaning system designed to autonomously clean both floors and ceilings, thereby addressing the limitations of existing single-surface cleaning robots. The system integrates AI-based object detection with dual sensors to facilitate autonomous navigation and effective obstacle avoidance in complex environments. A key innovation is a single robotic mechanism to perform multi-surface cleaning, eliminating the need for multiple cleaning tools and minimizing manual intervention. The system is controlled through a user-friendly mobile app that allows real-time monitoring, scheduling, and customization of cleaning sessions. The proposed solution improves cleaning efficiency by reducing the time and effort required for multi-surface cleaning but also enhances user convenience by providing a comprehensive and intuitive approach to maintaining cleanliness in various settings. These features position the system as a significant advancement in robotic cleaning technologies.

Authors

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aespc63931.2024.10872399
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.27
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article

Design and Implementation of an AI-Based Cleaner for Ceilings and Floors

Ashok G. Dastidar, Chaitali Dutta
1 citations
BIM and Construction Integration
0.27
article

Design and Implementation of an AI-Based Cleaner for Ceilings and Floors

Ashok G. Dastidar, Chaitali Dutta
article en
1 citations

Abstract

Traditional cleaning methods, particularly for ceilings, are laborious and time-consuming, often requiring separate tools for different surfaces. This paper presents a novel robotic cleaning system designed to autonomously clean both floors and ceilings, thereby addressing the limitations of existing single-surface cleaning robots. The system integrates AI-based object detection with dual sensors to facilitate autonomous navigation and effective obstacle avoidance in complex environments. A key innovation is a single robotic mechanism to perform multi-surface cleaning, eliminating the need for multiple cleaning tools and minimizing manual intervention. The system is controlled through a user-friendly mobile app that allows real-time monitoring, scheduling, and customization of cleaning sessions. The proposed solution improves cleaning efficiency by reducing the time and effort required for multi-surface cleaning but also enhances user convenience by providing a comprehensive and intuitive approach to maintaining cleanliness in various settings. These features position the system as a significant advancement in robotic cleaning technologies.

Sustainable cities and communities
Openalex Percentile: Top 39%
BIM and Construction Integration
0.27
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