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1. BLUETOOTH CONTROLLED FLOOR
CLEANING ROBOT USING ARDUINO
GUIDED BY, SUBMITTED BY,
Ms. PONNAMBILI S ARYA B (VPE21EC004)
AP, ECE PRAVEEN SJ (VPE21EC007)

2. CONTENTS
INTRODUCTION
OBJECTIVES
LITERATURE SURVEY
BLOCK DIAGRAM
CIRCUIT DIAGRAM
WORKING
COMPONENTS
RESULTS
ADVANTAGES
DISADVANTAGES
APPLICATION
FUTURE SCOPE
CONCLUSION
REFERENCES

3. INTRODUCTION
Floor cleaning is a very tough job it requires lot of patience and lot of persons to
clean and in cleaning a person may damage his/her healthiness, cleaning is more
time taking work.
To do work easily we have developed the robot and it is designed in such a way
that it can clean house, offices, apartments, and even streets as well.
The Bluetooth controlled floor cleaning robot which cleans a dirty floor
automatically using a set of commands given to the robot by a smartphone.

4. The device communicates through Bluetooth technology via a HC05 Bluetooth
module that will be used to exchange commands to the microcontroller – Arduino
NANO
The Bluetooth-controlled floor cleaning robot offers convenience and flexibility
to users by allowing them to remotely control the robot's movements and cleaning
actions from a distance.

5. OBJECTIVES
Obstacle detection and avoidance.
Convenient and flexible to use.
Effectively remove dirt.
Bluetooth control capability.

6. LITERATURE SURVEY
“A smart autonomous floor
cleaner with an Android
based controller” by Anshu
Prakash Murdan, Pawan
Kumar Ramkissoon
This paper proposes a cheaper alternative to
expensive commercial robots by creating a robot
that can both vacuum and mop, and is
controllable through an app.
The robot uses Arduino Mega microcontroller, a
mobile app with Bluetooth connectivity, and has
autonomous and remote-controlled modes.
The system is built with rechargeable battery.

7. “Automatic Floor Cleaning
Robot Using Arduino and
Ultrasonic Sensor” by Yuda
Irawan
This paper proposes a design for an automatic
floor cleaning robot prototype It utilizes an
Arduino Uno microcontroller as the brain and
an ultrasonic sensor to detect obstacles within
15 cm.
When the sensor detects an obstacle, the robot
automatically changes direction to avoid it.

8. “Survey on Automatic and
manual floor cleaning robot”
by Meghana K V, Harshitha V,
Mahima Padmanabha B,
Nagesh N Dikshit, B R
Santosh Kumar
This project proposes a user-friendly robotic
vacuum cleaner with additional features.
The robot will be fully automatic and include a self-
emptying dustbin and a pick-and-place mechanism.
The design is intended to be simple to build,
operate, and improve people's lives.

9. BLOCK DIAGRAM

10. CIRCUIT DIAGRAM

11. WORKING PRINCIPLE
The user sends cleaning instructions through a smartphone app connected to the
robot via Bluetooth
The robot uses sensors to navigate around the room. Here distance sensors are
used .
The robot is equipped with wheels powered by electric motors that propel it
around. The user’s commands through app direct the motor movements and
dictating the robot’s cleaning path.

12. An android application is used either to control the floor cleaner or to put it
in autonomous mode.
The robot uses microfiber cloths for mopping or wiping the floor.
Water tanks and pumps are included in the robot.
The water tank stores the clean water used for mopping the floor.
The pump precisely controls the water flow from the tank to the mopping cloth.
The whole robotic system is powered by lithium ion battery.

13. COMPONENTS
ARDUINO NANO
• Compact and Breadboard-Friendly
• Similar to Uno, But Miniaturized
• Multiple Power Options
BLUETOOTH MODULE
• Enable wireless communication
• Low Power Consumption
• Easy Integration

14. ULTRASONIC SENSOR
• Work based on the principle of echolocations.
• Works in Various Lighting Conditions.
• less expensive compared to some other sensors.
L298N MOTOR DRIVER
• It controls two DC motors simultaneously,
• Simple Operation
• Cost-Effective and Popular

15. LITHIUM ION BATTERY
• Lithium Ion (Li-ion) batteries are popular for their high energy density.
• Unlike disposable batteries, Li-ion batteries can be recharged hundreds of
times.
• Li-ion batteries have a longer lifespan.
DC MOTOR
• Consisting of a rotating shaft and electromagnets.
• The speed and direction of a DC motor can be easily controlled by adjusting
the supplied voltage or current.

16. MINI SUBMERSIBLE WATER PUMP
• Small size allow them to fit in tight spaces and be submerged entirely in
liquids.
• Often powered by low voltage DC.
• Easy to use.
• Mini submersible water pumps are generally affordable.

17. RESULTS
The project demonstrates it's possible to build such a robot using Arduino and
Bluetooth for app-based control of the cleaning action.
The robot can be programmed for functionalities like moving forward/backward,
turning, and potentially even obstacle avoidance.
The robot could have a detachable mopping attachment that holds the microfiber
cloth. This would allow for easy removal and washing of the cloth.
A drip irrigation system allows for much finer control of water flow from the pump.

19. ADVANTAGES
It is convenient to use.
It can be focused on specific areas.
Saves time by cleaning on its own.
Cleans under furniture and other tricky areas, reaching where you might struggle.
Control your robot from phone, like a remote control.

20. DISADVANTAGES
• Arduino-based robots may have limited capabilities compared to commercial
alternatives, lacking advanced features such as mapping technology or room
detection.
• Building and programming a floor cleaning robot with Arduino may be
challenging for those without prior experience in electronics or programming.
• DIY robots may be more prone to malfunctions
• Users may have limited access to technical support or troubleshooting resources
compared to commercial robot manufacturers, making it more difficult to resolve
issues.

21. APPLICATION
Automate the process mopping floors in homes, reducing the manual effort
required for routine cleaning tasks.
Clean large areas such as offices, malls, and restaurants efficiently and
systematically, ensuring a consistently clean environment for customers and
employees.
Ensure sanitized floors in medical settings, reducing the risk of infections and
maintaining a sterile environment for patients and healthcare workers.

22. Keep school and university floors clean, promoting a conducive
learning environment for students and faculty members.
 Assist caregivers in maintaining clean floors in nursing homes and
assisted living facilities, providing a safe and comfortable living
environment for residents.

23. FUTURE SCOPE
Future iterations could incorporate advanced navigation technologies such as
SLAM (Simultaneous Localization and Mapping) for improved mapping and
navigation capabilities.
Integration of machine learning algorithms could enhance the robot's ability to
learn and adapt to its environment, optimizing cleaning patterns and efficiency
over time.
Future models may feature seamless integration with smart home systems,
allowing for voice commands, integration with virtual assistants, and
interoperability with other smart devices.

24. Incorporating advanced sensors, such as lidar or depth cameras, could
improve obstacle detection, navigation accuracy, and surface
recognition capabilities.
Future robots may be designed to clean a variety of surfaces,
including carpets, hardwood floors, and tiles, with interchangeable
cleaning attachments optimized for each surface type.

25. CONCLUSION
The Arduino-powered robot offers convenient automated floor cleaning, freeing
users from the chore of manual cleaning.
Building a floor cleaning robot with Arduino components can be cost-effective
compared to purchasing commercial alternatives, making it accessible to a wider
range of users.
While not as advanced as some commercial models, the Arduino-powered robot
still offers efficient floor cleaning, saving time and effort for users.

26. REFERENCES
• [1] Anshu Prakash Murdan, Pawan Kumar Ramkissoon, “A smart autonomous
floor cleaner with an Android based controller” Electrical and Electronics
Engineering Dept University of Mauritius 978-l-7281-5707-8/20 ©2020 IEEE
• [2] Meghana K V, Harshitha V, Mahima Padmanabha B, Nagesh N Dikshit, B R
Santosh Kumar Electronics and Communication Engineering, K.S. Institute of
Technology, Bangalore, India “Survey on Automatic and manual floor cleaning
robot” 2019 JETIR April 2019, Volume 6, Issue 4.

27. • [3] Pawan Kumar Ramkisssoon , “A Smart Autonomous Floor Cleaner With An
Android Based Controller”, IEEE, 2020.
• [4] Rizuwana Parween, “Autonomous Self-reconfigurable Floor Cleaning Robot”,
IEEE, 2020.
• [5] Yuda Irawan, “Automatic Floor Cleaning Robot Using Arduino And Ultrasonic
Sensor” , Journal Of Robotics And Control ( JRC) , 2021.

28. THANK YOU