.png){kind=icon}
返回
Vision-based dirt distribution mapping using deep learning
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-023-38538-3.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Cleaning is a fundamental routine task in human life that is now handed over to leading-edge technologies such as robotics and artificial intelligence. Various floor-cleaning robots have been developed with different cleaning functionalities, such as vacuuming and scrubbing. However, failures can occur when a robot tries to clean an incompatible dirt type. These situations will not only reduce the efficiency of the robot but also impose severe damage to the robots. Therefore, developing effective methods to classify the cleaning tasks performed in different regions and assign them to the respective cleaning agent has become a trending research domain. This article proposes a vision-based system that employs YOLOv5 and DeepSORT algorithms to detect and classify dirt to create a dirt distribution map that indicates the regions to be assigned for different cleaning requirements. This map would be useful for a collaborative cleaning framework for deploying each cleaning robot to its respective region to achieve an uninterrupted and energy-efficient operation. The proposed method can be executed with any mobile robot and on any surface and dirt, achieving high accuracy of 81.0%, for dirt indication in the dirt distribution map.
Keyword:
FLOOR CLEANING ROBOT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
28.0W
被引数:
83.5W
机构
引用论文
Tradeoff Between Area Coverage and Energy Usage of a Self-Reconfigurable Floor Cleaning Robot Based on User Preference.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏hTetro-Infi: A Reconfigurable Floor Cleaning Robot With Infinite MorphologiesHtetro-infi: 具有无限形态的可重构地板清洁机器人IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
Further characterization of a Chinese hamster ovary cell mutant requiring cholesterol and unsaturated fatty acid for growthBiochemistry
BiochemistryIF0
PREAI
分享收藏
查看更多内容