Solar powered floor cleaning robot for logistic and warehouse industries
Sanjai S
Department Electrical and
Electronical
Engineering
Kalasalingam Academy of
Research and Education
Tamilnadu
Thalamuthu M
Department of Electrical and
electronics Engineering
Kalasalingam Academy of
Research and Education
Tamilnadu,India
Vivek Chowdary N
Department of Computer
Science
Engineering,kalasalingam
university
Tamilnadu,India
Vinothkumar
Department of computer science
Engineering
Kalasalingam Academy of
Research and Education
Tamilnadu,India
Arunkumar
Department of computer science
engineering
Kalasalingam university
Tamilnadu,India
Abstract- The increasing demand for efficient and
eco-friendly cleaning solutions in logistics and
warehouse environments has led to the development
of autonomous robotic cleaning systems. This paper
presents the design and implementation of a solarpowered floor cleaner robot that integrates
renewable energy technology to reduce dependence
on electricity and lower operational costs. The
system consists of a solar panel, rechargeable
battery, Arduino-based microcontroller, Bluetooth
module for wireless control, motorized scrubber,
and a water pump. The robot is designed to
effectively clean warehouse floors while
minimizing human effort. By harnessing solar
energy, the system ensures uninterrupted operation
with minimal environmental impact. Experimental
testing demonstrates the system’s effectiveness in
cleaning various surfaces within a warehouse
setting. The results indicate that the proposed robot
provides an efficient, cost-effective, and sustainable
cleaning solution suitable for logistics and
warehouse applications.
Keywords—Solar-powered, floor cleaning robot,
logistics, warehouse automation, renewable energy.
.
I. INTRODUCTION
In logistics and warehouse facilities, maintaining
cleanliness is essential to ensure smooth operations,
enhance safety, and prevent the accumulation of
dust and debris. Traditional cleaning methods, such
as manual mopping and industrial vacuum cleaners,
require significant labour and energy consumption.
These conventional methods contribute to high
operational costs and increased carbon footprints.
Moreover, industrial warehouses often have large
floor areas that require frequent cleaning, making
manual cleaning inefficient.
To address these challenges, this paper proposes a
solar-powered floor cleaner robot that automates the
cleaning process while utilizing renewable energy.
The robot is designed to operate on solar power,
store energy in a battery for continuous use, and
integrate Bluetooth-based remote control for user
convenience. By eliminating the reliance on
traditional power sources, this system offers a costeffective, eco-friendly, and labour-efficient solution
tailored to the logistics and warehouse industry.
Additionally, modern logistics hubs rely on
automation to streamline operations. Implementing
robotic cleaning solutions reduces dependency on
human labour while ensuring consistent cleaning
efficiency. The proposed system not only focuses
on sustainability through solar energy utilization but
also enhances flexibility with wireless control
mechanisms. Unlike traditional cleaning systems,
which often require high maintenance and frequent
power consumption, the proposed solar-powered
cleaner provides a low-maintenance, energyefficient alternative with the potential for largescale industrial adoption.
Another crucial aspect of warehouse cleanliness is
its impact on workplace safety and equipment
longevity. Dust accumulation can lead to equipment
malfunctions, increased wear and tear, and potential
health hazards for workers. This project aims to
mitigate these risks by providing an autonomous,
efficient, and environmentally friendly cleaning
solution. Through rigorous testing and optimization,
the proposed robotic system is designed to handle
various floor surfaces, ensuring adaptability in
diverse warehouse conditions.
Furthermore, as industries shift toward Industry 4.0
and smart warehouse solutions, integrating IoTenabled and AI-driven automation for cleaning can
enhance operational efficiency. The future scope of
this research includes integrating advanced
navigation techniques such as LiDAR and computer
vision to achieve complete autonomy, making it a
viable alternative to conventional cleaning methods.
By merging renewable energy sources, automation,
and robotics, this research highlights a step toward
sustainable industrial cleaning, contributing to both
economic and environmental benefits. The proposed
system aims to set a precedent for future research
and development in solar-powered autonomous
cleaning robots within industrial applications.
II. LITERATURE REVIEW
The advancement of autonomous cleaning
robots has gained traction in recent years,
particularly in industrial and commercial
applications. Various studies have explored the
integration of robotic automation in cleaning
solutions, focusing on improving efficiency,
navigation, and adaptability.
A. 2.1 Existing Cleaning Robots
Several autonomous cleaning robots, such as
robotic vacuum cleaners and industrial floor
scrubbers, have been developed. Notably,
companies like iRobot and Tennant have introduced
robotic
cleaning
solutions
that
navigate
autonomously using LiDAR, cameras, and infrared
sensors. While these robots are highly effective in
structured environments, they rely on electrical
charging stations, increasing their energy
consumption.
Existing industrial cleaning machines include largescale scrubbers, which are effective for heavy-duty
cleaning but lack autonomy and require significant
human supervision. Research on automated
warehouse cleaning suggests that the integration of
sensor-based navigation and automated path
planning can enhance efficiency, yet most of these
systems depend on electric power sources, making
them less sustainable.
B. 2.2 Solar-Powered Cleaning Systems
Studies on renewable energy applications in robotic
cleaning systems have primarily focused on solarpowered automation. Research in this domain
highlights the benefits of integrating solar panels to
reduce dependency on external power sources.
However, most existing systems either lack
autonomous movement capabilities or fail to
optimize solar energy utilization efficiently.
One study on solar-assisted cleaning robots for
urban environments demonstrated energy savings
but faced limitations in adaptability to industrial
environments due
to inconsistent
power
management strategies. Other research explored the
integration of battery storage and energy-efficient
motor control, which has shown potential in
enhancing system longevity and autonomy.
C. 2.3 Gaps in Existing Research
Despite advancements in robotic cleaning, there is
limited research on the implementation of solarpowered cleaning robots specifically for
warehouses and logistics hubs. Most available
solutions are designed for domestic or commercial
use rather than large-scale industrial cleaning.
Additionally, while AI-based navigation has been
explored in robotic vacuum cleaners, it has yet to be
effectively implemented in large-scale cleaning
robots optimized for warehouse settings.
Another gap in research is the lack of IoT-enabled
monitoring systems for real-time tracking of robotic
cleaners in industrial applications. Implementing
such features would allow warehouse managers to
track cleaning efficiency, schedule automated
cleaning sessions, and perform predictive
maintenance based on data analytics.
This paper aims to fill these gaps by developing a
solar-powered floor cleaning robot with integrated
Bluetooth control, autonomous navigation, and IoT
monitoring for warehouse environments.
III. PROPOSED WORK
The proposed system is designed to operate in
logistics and warehouse environments, leveraging
solar energy, automation, and IoT monitoring to
optimize cleaning efficiency. The architecture
integrates a solar panel, battery storage, Arduinobased control system, motorized scrubber, water
pump, and Bluetooth module for wireless control.
A. 3.1 System Architecture
The system comprises:






Renewable Energy Source: A solar panel
charges a rechargeable battery, ensuring
sustainable power availability.
Control
Unit:
An
Arduino
Uno
microcontroller governs the motors, sensors,
and cleaning mechanisms.
Mobility and Navigation: DC motors drive
the wheels, and an ultrasonic sensor detects
obstacles to enable semi-autonomous
navigation.
Cleaning Mechanism: A high-speed
scrubber motor ensures efficient dirt
removal, while a water pump supplies
cleaning liquid as needed.
Wireless Control & Monitoring: The HC-05
Bluetooth module facilitates remote
operation, and future integration of IoT
connectivity will allow
B. 3.2 Working Principle
The robot autonomously cleans warehouse floors
using predefined path-planning algorithms,
avoiding obstacles with ultrasonic sensors. The
system’s solar-charged battery ensures continuous
operation without external power dependency.
Future enhancements may include AI-driven path
optimization and real-time data tracking via IoT
dashboards.
This work aims to develop a scalable, self-sufficient,
and energy-efficient cleaning solution, reducing
operational costs and improving sustainability in
industrial cleaning applications.
IV .BLOCK DIAGRAM
The block diagram explains the architecture of the
solar-powered autonomous drone system for
medical supply delivery. These components include
an energy management system, navigation and
control system, AI-driven optimization, secure
payload system, and modular charging stations that
work in concert to optimize the operation for
efficiency and sustainability.
DC Motor (Scrubber Brush):
Drives the cleaning brush for
efficient floor scrubbing.
o Water Pump: Dispenses water or
cleaning liquid to aid in dirt
removal.
o Relay Module:
Controls the
activation of the pump based on
Arduino commands.
4. Navigation & Sensing
o Ultrasonic
Sensor:
Detects
obstacles in the robot’s path and
ensures smooth navigation.
o Motorized Wheels: Move the robot
forward and steer as needed based
on sensor input.
o
Block Diagram:
The block diagram of the solar-powered floor
cleaning robot illustrates the integration of various
components working together to achieve an
autonomous cleaning mechanism. The system
consists of:
The system operates autonomously or via remote
control, efficiently cleaning large warehouse and
logistics center floors while minimizing energy
consumption. Future enhancements may include AIbased navigation and IoT-enabled monitoring for
optimized performance.
Key Advantages of Our Project:
IV.
Eco-Friendly Operation

1. Power System
o Solar Panel: Captures solar energy
and converts it into electrical power.
o Charge Controller: Regulates the
voltage and prevents overcharging
of the battery.
o Battery: Stores the electrical energy
for continuous operation.
o Voltage Regulator: Ensures a stable
power supply for the control and
actuator units.
2. Control Unit
o Arduino Uno: Serves as the central
microcontroller, processing sensor
inputs and executing control
commands.
o HC-05 Bluetooth Module: Enables
wireless communication, allowing
remote control via a mobile app or
IoT interface.
o Motor Driver (L298N): Controls
the speed and direction of the DC
motors responsible for movement
and scrubbing.
3. Cleaning Mechanism

Utilizes solar energy, reducing dependence
on non-renewable electricity sources.
Lowers carbon footprint by minimizing
energy consumption from traditional power
grids.
Cost-Effective Cleaning Solution



Eliminates the need for manual labour,
reducing operational costs.
Solar power significantly cuts down
electricity expenses in large warehouses.
Reduces maintenance costs due to
automated cleaning schedules and fewer
breakdowns.
Autonomous
Functionality



and
Remote-Controlled
Bluetooth-enabled control allows remote
operation via mobile applications.
Future upgrades can integrate IoT
connectivity for cloud-based monitoring
and scheduling.
Ultrasonic sensors enhance autonomous
navigation, reducing collisions and
improving efficiency.
Efficient Cleaning Mechanism



Equipped with a motorized scrubber and
water pump for thorough floor cleaning.
Adaptable to various warehouse surfaces,
ensuring optimal cleaning performance.
Smart path-planning algorithms ensure even
coverage of cleaning areas.
Sustainable Power Management


Includes a battery storage system to allow
operation during non-sunlight hours.
Charge controller optimizes energy flow
and protects the battery from overcharging.
Scalability and Industrial Application


Designed specifically for logistics and
warehouse industries, where large-scale
cleaning is required.
Can be modified for hospitals, airports, and
shopping malls to provide efficient and
sustainable cleaning solutions.
Integration with Smart Technologies (Future
Scope)


Can be enhanced with AI-based navigation
for real-time obstacle avoidance and
optimized cleaning routes.
IoT-based monitoring will allow real-time
performance
tracking,
predictive
maintenance, and remote scheduling.
Conclusion:
The development of a solar-powered floor cleaner
robot represents a sigehouse industries. By
integrating renewable energy, automation, and IoTbased monitoring, the proposed system addresses
key challenges such as enernificant advancement in
industrial automation, particularly in the logistics
and war****gy efficiency, labor reduction, and
operational cost optimization. The use of solar
energy ensures a sustainable, long-term solution,
reducing dependency on external power sources and
minimizing the environmental footprint.
Future improvements may include AI-enhanced
navigation, advanced sensor integration for obstacle
avoidance, and IoT-enabled real-time monitoring
systems. This research sets a foundation for the next
generation of autonomous industrial cleaning robots,
offering a cost-effective, efficient, and eco-friendly
solution for large-scale floor maintenance.
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