IRJET- Gesture Controlled Robot with Obstacle Avoidance using Arduino and Android

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3473
Gesture Controlled Robot with Obstacle Avoidance using Arduino and
Android
Anup Tiwari1, Ghanwar Rohit Kumar2, S. Madhava Reddy3
1,2UG student, Dept. of Mechanical Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India
3Professor, Dept. of Mechanical Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India
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Abstract - A Gesture Controlled robot can be controlled by
simple human gestures. The user just needs to wear a gesture
device in which a sensor is included. The sensor will recordthe
movement of hand in a specific direction which will result in
the motion of the robot in the respective directions. The robot
and the Gesture instrument are connected wirelessly through
radio waves. User can interact with the robot in a more
friendly way due to the wireless communication. We can
control the car using accelerometer sensors in a Android
mobile. The radio frequency sensors are intended to replace
the remote control that is generally used t runtherobot. Itwill
allow user to control the forward, backward, leftward and
rightward movements.
One among such application is obstacle avoidance robot. We
are integrating obstacle avoiding system in this robot which
will use a sonar sensor to identify the distanceofthe upcoming
obstacle and automatically override the user instructions to
prevent the robot form collision. Only the motion in the
direction of obstacle is stopped and the user can navigate in
other directions.
Key Words: Arduino, Accelerometer, Ultrasonic sensor,
Motor driver, Bluetooth module, Android application,
Power supply.
1. INTRODUCTION
A gesture control robot is an Accelerometer based
robotic device (or) vehicle which is capable to detect the tilt
of hand and move according to it. There are several ways to
recognize a human gesture that a machine would be able to
understand. The gesture can be captured using a CCD
camera, or a data glove. Gestures can also be captured via
Bluetooth or IR waves, Acoustic, Tactile, optical or motion
technological means. The embedded systems designed for
specific control functions can beoptimizedtoreducethesize
and cost of the device, and increase the reliability and
performance. With the invention of Smartphone and other
modern technologies, operating machines have become
more flexible. The Smartphone are equipped with in-built
accelerometer which may be used for gesture recognition.
Moreover, the Android OS is gaining significantpopularityin
the world of Smartphone due to its open architecture.
Android platform is being used in the development of
numerous applications for cell-phones.
Therearevariousmodesofcommunication between
the microcontroller of the robot and the Smartphone.
However, the popularly used means of communication is
done via RF, Bluetooth or Wi-Fi. In this project an android
operated phone is incorporated as an accelerometer, a
Bluetooth module is incorporated in the robot that serves as
the means of receiving the data from the Smartphone which
is processed in the Arduino to detect the direction of
movement of the users hand and move the robot
accordingly.
An Obstacle Avoidance Robot isanintelligentrobot,
which can automaticallysenseandovercomeobstaclesonits
path. It contains of a Microcontroller to process the data,
and Ultrasonic (sonar) sensors to detect the obstaclesonits
path
1.1 Objective
The main objective of this project is to interfacetwo
robotic system i.e.; gesture controlled robot and obstacle
avoidance robot. In addition to that, the objective of this
project is to help in military operations, physically
challenged people, material handling and transferring
equipments.
1.2 Literature review
Prajwal Ashwin Jawalekar, in the “Robot control by using
human hand gesture using hand gestures”. The gesture
controlled robot can be controlled by normal hand gestures.
The accelerometer controls the movement of the car.
Premangshu Chandra, Pallab kanti Mukherjee, in the
“Gesture controlled robot using arduino and android” The
theme of this project wirelesscontrolledrobotusingarduino
ATmega32 processor andan androidoperatedapplicationto
control the gestures via Bluetooth module. The android
operated phone is incorporated as an accelerometer.
Manisha Kukde, Sanchita Nagpurka, Akshay Dhakulkar,
Akshay Amdare, in the “Automatic and manual vaccum
cleaning robot” The project is to design and develop robotic
floor with obstacle avoidance. RF modules have been used
for wireless communication between remote and robot
having range 50m.
Amrutha S Raibagi, Surabhi Anand B, Swetha R in the

“Ultrasonic anti crashing systemforautomobiles”attempted
to develop an anti-crash warning system combined with
ultrasonic ranging technology and sensor technology for
automobiles. It mainly focuses on potholes in the road and
its detection and hence automatic ormanual reductionin the
speed of the vehicle in order to avoid crashing.
1.3 Block diagram
The fig 1 shows the block diagram of the Gesture Controlled
Robot with Obstacle Avoidance using Arduino and Android.
Fig 1 Block diagram
1.4 Proposed work
The gesture controlled robot is a wireless operated robot
and has two parts: Transmitter and Receiver. When the
power of 9V is supplied to robot, the transmitter part, which
consists of Arduino, Accelerometer and RF Transmitter will
continuously monitor the ultrasonic sensor.
This data is captured by the Arduino, which then transmitsa
corresponding data to the Encoder, based on the orientation
of the Accelerometer of the android mobile phone through
an android application ‘ArduinoRC’. The parallel data
received by the encoder is converted intoserial data andthis
serial data is transmitted by the RF Transmitter.
At the receiver section, the RF Receiver i.e. Bluetooth
module(HC 05) receives the serial data and transmits it to
the Decoder IC. The Decoder will convert the serial data to
parallel data and this parallel data is given to the motor
driver IC. Based on the data, the movement of the motor
driver, IC motors and hence the movement of the robot is
defined. The robot moves forward, backward, right and left
when there is tilt in the mobile phone holded in the palm of
user in forward, backward, right and left respectively.
2. HARDWARE DESCRIPTION
2.1 Arduino Nano
Arduino nano is a small, compatible,flexibleand breadboard
friendly Microcontroller board, based on ATmega328p
(Arduino Nano V3.x) / Atmega168 (Arduino Nano V3.x).
Arduino Nano Pin out contains 14 digital pins, 8 analogPins,
2 Reset Pins & 6 Power Pins. Arduino Nano comes with a
crystal oscillator of frequency 16 MHz.Itisusedtoproducea
clock of precise frequency usingconstantvoltage. Thisboard
doesn’t use standard USB for connection with a computer,
instead, it comes with Mini USB support.
2.2 Accelerometer
An accelerometer is an electromechanical device used to
measure acceleration forces. Such forces may be static, like
the continuous force of gravity or, as is the case with many
mobile devices, dynamic to sense movement or vibrations.
2.3 Ultrasonic sensor
The HCSR04 ultrasonic sensor uses sonar to determine
distance to an object like bats or dolphins do. It offers
excellent noncontact range detection withhighaccuracyand
stable readings in an easy to use package.
2.4 Bluetooth Module (HC 05)
The HC-05 is a very cool module which can add two-way
(full-duplex) wireless functionality to your projects.You can
use this module to communicate between two
microcontrollers like Arduino or communicate with any
device with Bluetooth functionality like a Phone or Laptop.
There are many android applications that are already
available which makes this process a lot easier. The module
communicates with the help of USART at 9600 baud rate
hence it is easy to interface with any microcontroller that
supports USART.
2.5 Motor Driver
A motor driver IC is an integrated circuit chip which is
usually used to control motors in autonomous robots.Motor
driver ICs act as an interface between microprocessors in
robots and the motors in the robot. The most commonly
used motor driver IC’s are from the L293 series such as
L293D, L293NE, etc. These ICs are designed to control 2 DC
motors simultaneously.
2.6 DC Motor
DC motor is used for the conversion of direct current into
mechanical motion. The mechanical motion could be rotary
or linear. A magnetic field is produced asthecurrentpasses
through the wire, or coil of wires. This magnetic field
opposes against the permanent magnet set the right beside
the coil
thus resulting in a force going up or down depends on the
right hands rule.

2.7 Battery
The Hi Watt 9V battery is an affordable, reliable, dedicated
low-power solution to provide sufficient energy to your
circuit. Ideally used in circuits with low power consumption
so that it can work for longer durations.
3. CONCLUSION
In this paper, Integrating features of all the
hardware components used have been developed in it.
Presence of every module has been reasoned out and placed
carefully, thus contributing to the best working of the unit.
Secondly, using highly advanced IC’s with the help of
growing technology, the project has been successfully
implemented. Thus the project has been successfully
designed and tested. This kind of robot gives an intelligent
approach to help physically challenged people to reachtheir
destination, in military applications, in domestic use, in
material handling.
4. FUTURE SCOPE
The Gesture controlled robot designed in this work
has many future scopes. In future most of the industries
including automation, medical field,gaming,etcwill beusing
gesture technologies, providing a greater revolutionary in
surgery and for gamers it brings a new way of gaming
experience. For disabled persons it is like a support to them
and make feel them secure to reach beyond their limits.
The robot can be used for surveillance. The robot
can be applied in a wheelchair where the wheelchair can be
driven by the movements of rider’s hand. Wi-Fi can be used
for communication instead of Bluetooth to access it from a
greater distance. Edge sensors can be incorporated to it to
prevent the robot from falling from any surface. Some
camera can be installed which can record and send data to
the nearby computer or cell-phone.
REFERENCES
[1] Prajwal Ashwin Jawalekar “Robotic Control by Using
Human Hand Gestures”, International Research Journal
of Engineering and Technology (IRJET), Volume: 05,
2018.
[2] Premangshu Chanda, Pallab Kanti Mukherjee, Subrata
Modak, Asoke Nath “Gesture Controlled Robot Using
Arduino And Android”, IJARCSSE, Volume 6, May 2016.
[3] Manisha Kukde, Sanchita Nagpurkar, Akshay Amdare
“Automatic and Manual Vacuum Cleaning Robot”
International Research Journal of Engineering and
Technology (IRJET), Volume 05, Feb 2018.
[4] Amrutha S Raibagi, Surabhi Anand B , Swetha R
“Ultrasonic anti crashing system for automobiles”
International Journal ofAdvancedResearchinComputer
and Communication Engineering Vol. 2, Issue 4, April
2013
BIOGRAPHIES
Anup Tiwari , student of Studentof
Final year pursuing Bachelor’s
Degree in Engineering from
Mahatma Gandhi Institute of
Technology, Hyderabad, India in
the Department of Mechanical
Engineering.
Ghanwar Rohit Kumar, student of
Student of Final year pursuing
Bachelor’s Degree in Engineering
from Mahatma Gandhi Institute of
Technology, Hyderabad, India in
the Department of Mechanical
Engineering.
S. Madhava Reddy, (Ph.d in
Mechanical engineering),Professor
Dept. of Mechanical Engineering,
Mahatma Gandhi Institute of
Technology, Hyderabad, India
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