Results 1 to 10 of about 739 (134)

FMEA‐Based Coverage‐Path‐Planning Strategy for Floor‐Cleaning Robots

open access: yesAdvanced Intelligent Systems, 2023
Floor‐cleaning robots play a crucial role in both industrial and domestic spaces. However, these robots often face challenges due to hazardous components in their environment, which can cause them to fail and prevent them from performing at their best ...
Isira D. Wijegunawardana   +3 more
doaj   +2 more sources

Vision-based dirt distribution mapping using deep learning [PDF]

open access: yesScientific Reports, 2023
Cleaning is a fundamental routine task in human life that is now handed over to leading-edge technologies such as robotics and artificial intelligence.
Ishneet Sukhvinder Singh   +4 more
doaj   +2 more sources

hTetro-Infi: A Reconfigurable Floor Cleaning Robot With Infinite Morphologies

open access: yesIEEE Access, 2020
The development of floor cleaning robots is an emerging area in robotics. Maximizing the area coverage is a foremost mission for a floor cleaning robot.
S. M. Bhagya P. Samarakoon   +3 more
doaj   +3 more sources

A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection

open access: yesTechnologies, 2021
Floor-cleaning robots are becoming increasingly more sophisticated over time and with the addition of digital cameras supported by a robust vision system they become more autonomous, both in terms of their navigation skills but also in their capabilities
Daniel Canedo   +3 more
doaj   +3 more sources

Tradeoff Between Area Coverage and Energy Usage of a Self-Reconfigurable Floor Cleaning Robot Based on User Preference

open access: yesIEEE Access, 2020
Floor cleaning robots have been developed to cope with the issues arisen with conventional cleaning methods that involve extensive human labor. hTetro is a self-reconfigurable floor cleaning robot that has been introduced to improve area coverage ...
M. A. Viraj J. Muthugala   +2 more
doaj   +3 more sources

Realization Energy Optimization of Complete Path Planning in Differential Drive Based Self-Reconfigurable Floor Cleaning Robot

open access: yesEnergies, 2019
The efficiency of energy usage applied to robots that implement autonomous duties such as floor cleaning depends crucially on the adopted path planning strategies.
Anh Vu Le   +5 more
doaj   +2 more sources

Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot hTetro

open access: yesScientific Reports, 2022
Floor cleaning robots are widely used in public places like food courts, hospitals, and malls to perform frequent cleaning tasks. However, frequent cleaning tasks adversely impact the robot’s performance and utilize more cleaning accessories (such as ...
Balakrishnan Ramalingam   +5 more
doaj   +1 more source

Toward Pleomorphic Reconfigurable Robots for Optimum Coverage

open access: yesComplexity, 2021
Buildings are constructed for accommodating living and industrial needs. Floor cleaning robots have been developed to cater to the demand of these buildings.
S. M. Bhagya P. Samarakoon   +3 more
doaj   +1 more source

Floor Cleaning Robot

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The “Floor Cleaning Robot” utilizing the Arduino Uno is an innovative robotic system aimed at automating floor cleaning processes, incorporating both dry and wet cleaning functionalities into a single design. This project focuses on achieving autonomous navigation, obstacle detection, and efficient cleaning using cost-effective and user-friendly ...
D. Sri Lakshmi,, V. Rangavalli
  +4 more sources

Modeling and Analysis of the Cleaning System of a Reconfigurable Tiling Robot

open access: yesIEEE Access, 2020
Cleaning robots have been gaining traction amongst various industries globally, with domestic floor cleaning robots being the most widespread. These robots usually employ brushes with a vacuum unit for dry cleaning purposes.
Rizuwana Parween   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy