SlideShare a Scribd company logo
RFID Based Tag Finding Mobile Robot for Indoor Navigation
R.P. Surya Shankar, Assistant Professor, ICE dept., Kalasalingam University (KLU) .1
R.Arshat mohideen, K.Dhivakar, A. SivaKumar, final year students, ICE dept. KLU.2
Dr.K.Valarmathi, Professor, ECE dept, PSR Engg College, Sivakasi.3
ABSTRACT:
For the past years, the development of robot technology had increased significantly due
to industrial and military application, but intelligent robots for daily usage is yet to be
implemented. To track or to detect humans or any other objects many methods are available and
come in expansive product. This paper focuses on low cost goods carrying mobile robot. RFID
(radio frequency identification) technology is used to navigate the goods carrying mobile robot
in indoor environment. The RFID tag used here act as target for mobile robot in hallway. RFID
reader has placed in the mobile robot to find the tag by transmitting radio waves. While moving
on the hallway the obstacles if found can be avoided with the help of ultrasonic sensor. Finally
the tag is used as the navigation for the robot, and also it enables as target for the robot. Mobile
robot developed here is mainly used to carry goods.
Keywords: Mobile Robot navigation, RFID, Ultrasonic sensor, Collision free path finding.
1. INTRODUCTION:
RFID (Radio Frequency Identification) is a
usual term for technologies that use radio
waves to automatically identify persons or
objects. RFID method consists of two major
ingredients: digital tag and reader. According
to the energized ways of tags, there are three
classes of RFID, the active type, passive form
and half - active form respectively. An active
tag makes use of its interior vigor supply to
provide vigor without the need of acquiring
energy from RFID reader to initialize. Active
tags can communicate with readers 10 meters
to one hundred meters or extra away. Passive
tags don't have any vigor source of their
possess and ordinarily operate at a maximum
distance of 3 meters or less. The utilization of
RFID technology is novel and would enhance
the existed automation process. A RFID
based autonomous mobile goods carrying
robot is designed and carried out in this paper.
The ARDUINO based micro-
controller is used to control the proposed
system and to communicate with RFID
reader. The autonomous mobile goods
carrying robot can learn the moving control
commands (such as forward, reverse, turn left
or turn right) from the tags and implements
the appropriate moves.
2. Related work:
In existing works, they represents the indoor
navigation of mobile robot using RFID
technology as path generation and robot
localization, to find the target is more
complicate. They takes some time to generate
map and robot is much expensive too. Due to
its less cost and wireless identification
characteristics, RFID has become an
important technology in robotics, and has
been used and applied for different
applications. Previous studies have shown
how to use RFID for localization, mapping,
navigation and object localization. They used
more sensor model for the RFID reader,
which computes easy to identify the tag
detections. Using this model, the positions of
passive RFID tags in a known environment
were mapped with a high accurate. Regarding
object tracking with RFID, demonstrated how
to produce images of the spatial distribution
of RSS for different tagged object
environments. They measured the RSS value
at each bearing by panning and tilting an
RFID reader antenna. The fused ID-specific
features
Derived from an RSS image, a camera image,
and a laser range finder scan were used to
estimate the tagged objects’ 3D locations.
For example, in Kinect sensor used mobile
shopping cart, we need train the processor to
recognize the user. By using the RFID
technology which is very cheap and effective,
and can be implement for real world
application.
Drawbacks of other methods:
 We need to give more training to the
processor to detect each and every
users
 Due to expensive they will not able to
implement wildly.
 In the previous system, the accuracy
of the robot navigation is less.
3. Experimental setup:
Proposed system units:
 Power supply unit
 Controller unit
 Sensor unit
 Mechanical unit
 Software unit
 Motor driver unit
Power supply unit:
Heart of the mobile robot is power source. It
utilizes a 6V, 4.5Ah DC rechargeable battery. It
supplies energy to motors for movement,
Arduino controller for making decision, sensors
to provide environmental information.
Controller unit:
Brain of our proposed system is
controller unit. Arduino Mega2560 is a
microcontroller board which act as brain in our
system. It has 54 digital I/O pins and 16 analog
inputs. Clock speed is 16 MHz and flash
memory is 256KB. It requires operating voltage
at 5V. It can be easily programmed by using
arduino software IDE.
Sensor unit:
The sensor unit consists of three
ultrasonic sensors and the RFID-RC522
module.
Ultrasonic sensor:
Ultrasonic sensors, also called
ultrasonic transducers, measure the distance to
or the presence of a target object by sending a
sound pulse, above therange of human hearing
(ultrasonic), toward the target and then
measuring the time it takes the sound (echo) to
return. Knowing the speed of sound, the sensor
determines the distance of the target and sets its
outputs accordingly. Maximum range of
obstacle detection is 400cm and minimum is
4cm. It requires 5V for its operations which is
provided by the power supply unit.
RFID-RC522:
Radio frequency identification (RFID)
is a technology that exchanges data through
radio waves between a reader and a tag. The
purpose of it is identification and tracking. In
the near future, it is possible that RFID
technology will appear in our daily lives just
like the bar code technology did over the past
forty years. In this paper, we focus on small
and low-cost passive RFID tags, based on the
EPCGen2 standard, which is an international
protocol for mostly passive RFID tags.
Our proposed method utilizes RC522
Mechanical unit:
Movement of robot is achieved by four
wheels and each one is connected with the DC
gear motor. It can make the robot to move
forward or reverse direction and turn right or
turn left directions. Robot platform has metal
chassis to hold the battery and other units.
Software unit:
Arduino software IDE is used to upload the
program codes to Arduino mega2560
microcontroller for desired application.
Motor driver unit:
The power from arduino controller is very small
to operate the gear motors. Motor driving
circuit such as L298 driver IC is used to provide
proper current rating to the motors.
4. BLOCK DIAGRAM:
WORKING PROCESS:
In this proposed system three ultrasonic sensors
are placed in front, right and in left. In this the
front sensor is focused and while moving
forward if it detects any obstacle, it will decide
to move Right or Left depending on the low
signal available in the Right or Left sensor,
otherwise it defaultly moves right for particular
time and then moves to left to reach the target.
When the front sensor has low signal value
Robot is moving forward, and If the Front
sensor having high value, and side sensor
having low value, one set of motor is moving
forward and at the same time and another set of
motor in reverse direction and by this way the
robot is moving right or in left direction
depending upon the sensor output.
Simultaneously the RFID reader emits the radio
waves to found the RFID tag to reach the target.
These two devices are programmed in Arduino
and controls the motor driver according to the
signal comes. When RFID reader reads the tag
value robot assumed that target reach and stop
the movement.
5. METHODOLOGY:
Signals from sensors were processed to get
the required signal. RF and Echo signal
features are extracted and the current position
of the Robot is identified. While the robot is
moving in its path way, any obstacle is
detected, then robot will change the direction
and update its new position till it reaches the
target. i.e., RFID Tag.
6. Result:
US distance in
inches
Distance in volt
6 0.0
10 0.7
14 1.5
18 2.2
22 3.0
34 5.2
38 5.9
42 6.7
46 7.4
50 8.1
Table 1: ultrasonic sensor distance
measurement, inches to voltage conversion by
using formula Inches = (V * 5.4) + 6
RFID
signal
Strength
Obstacle
Detection
(Ultrasonic
sensor o/p)
Robot
Moving
Direction
Very weak
/ No signal
No Forward
Weak No Forward
Weak Yes Turn
right/left
Medium Yes Slow down
the speed of
motor
High Yes Stop
Table2: Movement of robot due to RFID signal
and ultrasonic output.
When the Robot comes very near to target, the
received signal strength (RSS) from the reader
is too high. At this time, robot will temporally
stop running.
7. Conclusion and Future work:
7.1 Conclusion
In this paper, wepresent the RFID
based tag finding mobile robot. Comparing to
the other method RFID is minimum cost and
the mobile robot can be easy to access and to
use.
7.2 Future work:
In future, work to be carried out on dynamic
and unknown environment. Also with the help
of optimization algorithm, work is carried out
and best solution is to be obtained. The output
may be extended to carry the patient in
hospitals in case of emergency.
Reference:
1 F. Lu and E. Milios, “Robot pose
estimation in unknown environments
by matching 2D range scans,” Journal
ofIntelligent & RoboticSystems, vol.
18, no. 3, pp. 249–275, 1997.
2 Khatib, O., Real-Time Obstacle
Avoidance for Manipulators and
MobileRobots,. 5, 1986. The
International Journal of Robotics
Research: p. 90-98.
3 RFID Journal - RFID (Radio
Frequency Identification) Technology
News & Features. Retrieved July 21,
2011,fromhttp://www.rfidjournal.com/
article/view/207
4 R. Liu, P. Vorst, A. Koch, and A. Zell,
“Path following for indoor robots with
RFID received signal strength,” in
Proc. of the 19th
Int. Conf. on
Software, Telecommunications and
Computer Networks (SoftCOM 2011),
Croatia, September 2011.
5 D. Joho, C. Plagemann, and W.
Burgard, “Modeling RFID signal
strength and tag detection for
localization and mapping,” in Proc.
Of2009 IEEE Int. Conf. on Robotics
and Automation (ICRA 2009), Kobe,
Japan, May 2009, pp. 3160–3165.
6 P. Vorst, S. Schneegans, B. Yang, and
A. Zell, “Self-localization with RFID
snapshots in densely tagged
environments,” in Proc. of the 2008
IEEE/RSJ Int. Conf. on Intelligent
Robotsand Systems (IROS 2008),
Nice, France, September 2008, pp.
1353–1358.
7 O. Hachour AND N. Mastorakis,
FPGA implementation of navigation
approach, WSEAS international
multiconference 4th WSEAS
robotics,distance learning and
intelligent communication systems
(ICRODIC2004), in Rio de Janeiro
Brazil, October 1-15 , 2004, pp2777.
8 Sankaranarayanar, A., M. Vidyasagar.
. Path planning for moving apoint
object amidst unknown obstacles in a
plane: a new algorithm and ageneral
theory for algorithm development in
Decision and Control, in29th IEEE
Conference on Decision and Control.
1990.
9 Choset, H., et al.,, Principles of Robot
Motion: Theory, Algorithms, and
Implementations. . 2005: The MIT
Press.
10 Langer, R.A., L.S. Coelho, G.H.C.
Oliveira,. K-Bug, A New Bug
Approach for Mobile Robot's Path
Planning. in IEEE Int. Conf. on
Control Applications. 2007.
11 Kamon, I., E. Rimon, E
.Rivlin,,TangentBug: A Range-
Sensor-Based Navigation Algorithm.
The Int. J. of Robotics Research,
1998. 17( 9): p.934-953.
12 Wan Ngah, W.A.J., Buniyamin N,
Mohamad Z. Point to Point Sensor
Based Path Planning Algorithm for
Mobile Robots. in 9th WSEAS
International Conference on System
Science and Simulation in
Engineering (ICOSSSE'10). 2010.
Iwate, Japan: WSEAS.
13 D. R. Parhi, “Navigation of mobile
Journal of Intelligent and Robotic
Systems, vol. 42, no. 35, pp. 253–273,
March 2005.
14 Prabhakar Mishra†, Sujith B.S†,
Kushal Mall†;”A Novel Path Planning
Algorithm for Autonomous Robot
Navigation “ICCAIE 2010
15 O. Hachour AND N.
MastorakisBehaviour of intelligent
autonomous ROBOTIC IAR”, IASME
transaction, issue1, volume 1 ISSN
1790-031x WSEAS January 2004,pp
76-86.
1.

More Related Content

PPTX
Photoelectric sensors
PPTX
Intelligent conveyor belt system
PPTX
FINGERPRINT AUTHENTICATION SYSTEM FOR EXAMINATION ATTENDANCE
PPT
Sensors by saurabh jawale
PPTX
Attendance System using RFID
PPT
Thermocouples sensors
DOCX
Persistence of Vision Display
PPTX
LINE FOLLOWER ROBOT
Photoelectric sensors
Intelligent conveyor belt system
FINGERPRINT AUTHENTICATION SYSTEM FOR EXAMINATION ATTENDANCE
Sensors by saurabh jawale
Attendance System using RFID
Thermocouples sensors
Persistence of Vision Display
LINE FOLLOWER ROBOT

What's hot (20)

PPTX
Proximity sensor
PPTX
ANTI SLEEP ALARM
PPTX
Thermal imaging camera
PPTX
Passive Infrared Motion Sensors
PPTX
Pir motion sensor with raspberry pi
PPTX
Mechanism of PIR sensor
PDF
Report smart dustbin
PDF
Parking Slot Availability Check and Booking System over IOT
PPTX
Unit 3 machine vision
PPTX
IR Sensor Working and Concepts
PDF
Rfid based attendance system using arduino (1)
DOC
Finger print based bank locker system
PPT
Free Electronics Projects Circuits and their Applications
PPTX
Mechanical sensor
DOCX
8051 development board project report
PPTX
Unit III-- senors in robotics
PPTX
Solar mobile charger
DOCX
Gesture control robot
PPT
Fire fighting Robot
Proximity sensor
ANTI SLEEP ALARM
Thermal imaging camera
Passive Infrared Motion Sensors
Pir motion sensor with raspberry pi
Mechanism of PIR sensor
Report smart dustbin
Parking Slot Availability Check and Booking System over IOT
Unit 3 machine vision
IR Sensor Working and Concepts
Rfid based attendance system using arduino (1)
Finger print based bank locker system
Free Electronics Projects Circuits and their Applications
Mechanical sensor
8051 development board project report
Unit III-- senors in robotics
Solar mobile charger
Gesture control robot
Fire fighting Robot
Ad

Viewers also liked (15)

PPTX
Natalia y cel
PDF
Norma sofas Catogue by Studio Inclass
PDF
UNNIA TAPIZ by Simon Pengelly
PDF
FourUp Digital LTD Company Profile 2016
PDF
Malibu Tables Catalogue by Studio Inclass
PDF
AGMC-Corporate Profile - Non Motor v002
DOCX
Resume - Amogh
PDF
Dokumentasi Implementasi App & Server
PPTX
Area de ciencia y tecnologia 2017
PDF
Presentation
PPS
Ano novo. . um novo começo
PDF
Project summary
PPTX
External Audit Presentation
PPTX
Tugas 8. peranan sektor pertanian ppt
PPTX
Natalia y cel
Norma sofas Catogue by Studio Inclass
UNNIA TAPIZ by Simon Pengelly
FourUp Digital LTD Company Profile 2016
Malibu Tables Catalogue by Studio Inclass
AGMC-Corporate Profile - Non Motor v002
Resume - Amogh
Dokumentasi Implementasi App & Server
Area de ciencia y tecnologia 2017
Presentation
Ano novo. . um novo começo
Project summary
External Audit Presentation
Tugas 8. peranan sektor pertanian ppt
Ad

Similar to RFID based mobile robot for indoor navigation (20)

PDF
DESIGN AND VLSIIMPLEMENTATION OF ANTICOLLISION ENABLED ROBOT PROCESSOR USING ...
PDF
117_SIRJ_HMS
PDF
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
PDF
433386510-Smart-Trolley- trolley Ppt.pdf
PDF
Indoor positioning system using ultrasonic
PDF
Vehicle Tracking and Ticketing System Using RFID Project (Complete Softcopy)
PDF
Autonomous navigation robot
PDF
Impediment detection robot using Arduino
PDF
VLSI Implementation of CORDIC Based Robot Navigation Processor
DOCX
Radio frequency identification technology for tool tracking on construction s...
PPTX
Wireless Image Transmission By Robo With Metal Detector
PDF
OBSTACLE AVOIDACE ROBOT USING ARDUINO UNO AND ULTRASONIC SENSOR
PDF
Design and Development of a Semi-Autonomous Telerobotic Warehouse Management ...
PDF
Real-Time Map Building using Ultrasound Scanning
PDF
Optimized mapping and navigation of remote area through an autonomous robot
PPTX
Arduino Project (1).pptx
PDF
IRJET- RFID based Book Shelving System
PDF
IRJET- Automated Targeting System for Open Space Military Area
PDF
Wireless Indoor Localization with Dempster-Shafer Simple Support Functions
PDF
Wmr obstacle avoidance using compass and ultrasonic
DESIGN AND VLSIIMPLEMENTATION OF ANTICOLLISION ENABLED ROBOT PROCESSOR USING ...
117_SIRJ_HMS
An Intelligent Mobile Robot Navigation Technique Using RFID Technology
433386510-Smart-Trolley- trolley Ppt.pdf
Indoor positioning system using ultrasonic
Vehicle Tracking and Ticketing System Using RFID Project (Complete Softcopy)
Autonomous navigation robot
Impediment detection robot using Arduino
VLSI Implementation of CORDIC Based Robot Navigation Processor
Radio frequency identification technology for tool tracking on construction s...
Wireless Image Transmission By Robo With Metal Detector
OBSTACLE AVOIDACE ROBOT USING ARDUINO UNO AND ULTRASONIC SENSOR
Design and Development of a Semi-Autonomous Telerobotic Warehouse Management ...
Real-Time Map Building using Ultrasound Scanning
Optimized mapping and navigation of remote area through an autonomous robot
Arduino Project (1).pptx
IRJET- RFID based Book Shelving System
IRJET- Automated Targeting System for Open Space Military Area
Wireless Indoor Localization with Dempster-Shafer Simple Support Functions
Wmr obstacle avoidance using compass and ultrasonic

Recently uploaded (20)

PDF
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
PPTX
Construction Project Organization Group 2.pptx
PPTX
web development for engineering and engineering
PPT
Mechanical Engineering MATERIALS Selection
PPTX
CYBER-CRIMES AND SECURITY A guide to understanding
PDF
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
PPTX
Internet of Things (IOT) - A guide to understanding
PPTX
Artificial Intelligence
PPTX
CH1 Production IntroductoryConcepts.pptx
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PPT
Project quality management in manufacturing
DOCX
573137875-Attendance-Management-System-original
PPTX
Fundamentals of safety and accident prevention -final (1).pptx
PDF
737-MAX_SRG.pdf student reference guides
PPTX
additive manufacturing of ss316l using mig welding
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
PDF
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PDF
R24 SURVEYING LAB MANUAL for civil enggi
PPTX
OOP with Java - Java Introduction (Basics)
BIO-INSPIRED HORMONAL MODULATION AND ADAPTIVE ORCHESTRATION IN S-AI-GPT
Construction Project Organization Group 2.pptx
web development for engineering and engineering
Mechanical Engineering MATERIALS Selection
CYBER-CRIMES AND SECURITY A guide to understanding
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
Internet of Things (IOT) - A guide to understanding
Artificial Intelligence
CH1 Production IntroductoryConcepts.pptx
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
Project quality management in manufacturing
573137875-Attendance-Management-System-original
Fundamentals of safety and accident prevention -final (1).pptx
737-MAX_SRG.pdf student reference guides
additive manufacturing of ss316l using mig welding
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
R24 SURVEYING LAB MANUAL for civil enggi
OOP with Java - Java Introduction (Basics)

RFID based mobile robot for indoor navigation

  • 1. RFID Based Tag Finding Mobile Robot for Indoor Navigation R.P. Surya Shankar, Assistant Professor, ICE dept., Kalasalingam University (KLU) .1 R.Arshat mohideen, K.Dhivakar, A. SivaKumar, final year students, ICE dept. KLU.2 Dr.K.Valarmathi, Professor, ECE dept, PSR Engg College, Sivakasi.3 ABSTRACT: For the past years, the development of robot technology had increased significantly due to industrial and military application, but intelligent robots for daily usage is yet to be implemented. To track or to detect humans or any other objects many methods are available and come in expansive product. This paper focuses on low cost goods carrying mobile robot. RFID (radio frequency identification) technology is used to navigate the goods carrying mobile robot in indoor environment. The RFID tag used here act as target for mobile robot in hallway. RFID reader has placed in the mobile robot to find the tag by transmitting radio waves. While moving on the hallway the obstacles if found can be avoided with the help of ultrasonic sensor. Finally the tag is used as the navigation for the robot, and also it enables as target for the robot. Mobile robot developed here is mainly used to carry goods. Keywords: Mobile Robot navigation, RFID, Ultrasonic sensor, Collision free path finding. 1. INTRODUCTION: RFID (Radio Frequency Identification) is a usual term for technologies that use radio waves to automatically identify persons or objects. RFID method consists of two major ingredients: digital tag and reader. According to the energized ways of tags, there are three classes of RFID, the active type, passive form and half - active form respectively. An active tag makes use of its interior vigor supply to provide vigor without the need of acquiring energy from RFID reader to initialize. Active tags can communicate with readers 10 meters to one hundred meters or extra away. Passive tags don't have any vigor source of their possess and ordinarily operate at a maximum distance of 3 meters or less. The utilization of RFID technology is novel and would enhance the existed automation process. A RFID based autonomous mobile goods carrying robot is designed and carried out in this paper. The ARDUINO based micro- controller is used to control the proposed system and to communicate with RFID reader. The autonomous mobile goods carrying robot can learn the moving control commands (such as forward, reverse, turn left or turn right) from the tags and implements the appropriate moves. 2. Related work: In existing works, they represents the indoor navigation of mobile robot using RFID technology as path generation and robot localization, to find the target is more complicate. They takes some time to generate map and robot is much expensive too. Due to its less cost and wireless identification characteristics, RFID has become an important technology in robotics, and has been used and applied for different applications. Previous studies have shown how to use RFID for localization, mapping,
  • 2. navigation and object localization. They used more sensor model for the RFID reader, which computes easy to identify the tag detections. Using this model, the positions of passive RFID tags in a known environment were mapped with a high accurate. Regarding object tracking with RFID, demonstrated how to produce images of the spatial distribution of RSS for different tagged object environments. They measured the RSS value at each bearing by panning and tilting an RFID reader antenna. The fused ID-specific features Derived from an RSS image, a camera image, and a laser range finder scan were used to estimate the tagged objects’ 3D locations. For example, in Kinect sensor used mobile shopping cart, we need train the processor to recognize the user. By using the RFID technology which is very cheap and effective, and can be implement for real world application. Drawbacks of other methods:  We need to give more training to the processor to detect each and every users  Due to expensive they will not able to implement wildly.  In the previous system, the accuracy of the robot navigation is less. 3. Experimental setup: Proposed system units:  Power supply unit  Controller unit  Sensor unit  Mechanical unit  Software unit  Motor driver unit Power supply unit: Heart of the mobile robot is power source. It utilizes a 6V, 4.5Ah DC rechargeable battery. It supplies energy to motors for movement, Arduino controller for making decision, sensors to provide environmental information. Controller unit: Brain of our proposed system is controller unit. Arduino Mega2560 is a microcontroller board which act as brain in our system. It has 54 digital I/O pins and 16 analog inputs. Clock speed is 16 MHz and flash memory is 256KB. It requires operating voltage at 5V. It can be easily programmed by using arduino software IDE. Sensor unit: The sensor unit consists of three ultrasonic sensors and the RFID-RC522 module. Ultrasonic sensor: Ultrasonic sensors, also called ultrasonic transducers, measure the distance to or the presence of a target object by sending a sound pulse, above therange of human hearing (ultrasonic), toward the target and then measuring the time it takes the sound (echo) to return. Knowing the speed of sound, the sensor determines the distance of the target and sets its outputs accordingly. Maximum range of obstacle detection is 400cm and minimum is 4cm. It requires 5V for its operations which is provided by the power supply unit. RFID-RC522: Radio frequency identification (RFID) is a technology that exchanges data through radio waves between a reader and a tag. The purpose of it is identification and tracking. In the near future, it is possible that RFID technology will appear in our daily lives just like the bar code technology did over the past
  • 3. forty years. In this paper, we focus on small and low-cost passive RFID tags, based on the EPCGen2 standard, which is an international protocol for mostly passive RFID tags. Our proposed method utilizes RC522 Mechanical unit: Movement of robot is achieved by four wheels and each one is connected with the DC gear motor. It can make the robot to move forward or reverse direction and turn right or turn left directions. Robot platform has metal chassis to hold the battery and other units. Software unit: Arduino software IDE is used to upload the program codes to Arduino mega2560 microcontroller for desired application. Motor driver unit: The power from arduino controller is very small to operate the gear motors. Motor driving circuit such as L298 driver IC is used to provide proper current rating to the motors. 4. BLOCK DIAGRAM: WORKING PROCESS: In this proposed system three ultrasonic sensors are placed in front, right and in left. In this the front sensor is focused and while moving forward if it detects any obstacle, it will decide to move Right or Left depending on the low signal available in the Right or Left sensor, otherwise it defaultly moves right for particular time and then moves to left to reach the target. When the front sensor has low signal value Robot is moving forward, and If the Front sensor having high value, and side sensor having low value, one set of motor is moving forward and at the same time and another set of motor in reverse direction and by this way the robot is moving right or in left direction depending upon the sensor output. Simultaneously the RFID reader emits the radio waves to found the RFID tag to reach the target. These two devices are programmed in Arduino and controls the motor driver according to the signal comes. When RFID reader reads the tag value robot assumed that target reach and stop the movement. 5. METHODOLOGY: Signals from sensors were processed to get the required signal. RF and Echo signal features are extracted and the current position of the Robot is identified. While the robot is moving in its path way, any obstacle is detected, then robot will change the direction and update its new position till it reaches the target. i.e., RFID Tag. 6. Result: US distance in inches Distance in volt
  • 4. 6 0.0 10 0.7 14 1.5 18 2.2 22 3.0 34 5.2 38 5.9 42 6.7 46 7.4 50 8.1 Table 1: ultrasonic sensor distance measurement, inches to voltage conversion by using formula Inches = (V * 5.4) + 6 RFID signal Strength Obstacle Detection (Ultrasonic sensor o/p) Robot Moving Direction Very weak / No signal No Forward Weak No Forward Weak Yes Turn right/left Medium Yes Slow down the speed of motor High Yes Stop Table2: Movement of robot due to RFID signal and ultrasonic output. When the Robot comes very near to target, the received signal strength (RSS) from the reader is too high. At this time, robot will temporally stop running. 7. Conclusion and Future work: 7.1 Conclusion In this paper, wepresent the RFID based tag finding mobile robot. Comparing to the other method RFID is minimum cost and the mobile robot can be easy to access and to use. 7.2 Future work: In future, work to be carried out on dynamic and unknown environment. Also with the help of optimization algorithm, work is carried out and best solution is to be obtained. The output may be extended to carry the patient in hospitals in case of emergency. Reference: 1 F. Lu and E. Milios, “Robot pose estimation in unknown environments by matching 2D range scans,” Journal ofIntelligent & RoboticSystems, vol. 18, no. 3, pp. 249–275, 1997. 2 Khatib, O., Real-Time Obstacle Avoidance for Manipulators and MobileRobots,. 5, 1986. The International Journal of Robotics Research: p. 90-98. 3 RFID Journal - RFID (Radio Frequency Identification) Technology News & Features. Retrieved July 21, 2011,fromhttp://www.rfidjournal.com/ article/view/207 4 R. Liu, P. Vorst, A. Koch, and A. Zell, “Path following for indoor robots with RFID received signal strength,” in Proc. of the 19th Int. Conf. on Software, Telecommunications and Computer Networks (SoftCOM 2011), Croatia, September 2011. 5 D. Joho, C. Plagemann, and W. Burgard, “Modeling RFID signal strength and tag detection for localization and mapping,” in Proc. Of2009 IEEE Int. Conf. on Robotics and Automation (ICRA 2009), Kobe, Japan, May 2009, pp. 3160–3165.
  • 5. 6 P. Vorst, S. Schneegans, B. Yang, and A. Zell, “Self-localization with RFID snapshots in densely tagged environments,” in Proc. of the 2008 IEEE/RSJ Int. Conf. on Intelligent Robotsand Systems (IROS 2008), Nice, France, September 2008, pp. 1353–1358. 7 O. Hachour AND N. Mastorakis, FPGA implementation of navigation approach, WSEAS international multiconference 4th WSEAS robotics,distance learning and intelligent communication systems (ICRODIC2004), in Rio de Janeiro Brazil, October 1-15 , 2004, pp2777. 8 Sankaranarayanar, A., M. Vidyasagar. . Path planning for moving apoint object amidst unknown obstacles in a plane: a new algorithm and ageneral theory for algorithm development in Decision and Control, in29th IEEE Conference on Decision and Control. 1990. 9 Choset, H., et al.,, Principles of Robot Motion: Theory, Algorithms, and Implementations. . 2005: The MIT Press. 10 Langer, R.A., L.S. Coelho, G.H.C. Oliveira,. K-Bug, A New Bug Approach for Mobile Robot's Path Planning. in IEEE Int. Conf. on Control Applications. 2007. 11 Kamon, I., E. Rimon, E .Rivlin,,TangentBug: A Range- Sensor-Based Navigation Algorithm. The Int. J. of Robotics Research, 1998. 17( 9): p.934-953. 12 Wan Ngah, W.A.J., Buniyamin N, Mohamad Z. Point to Point Sensor Based Path Planning Algorithm for Mobile Robots. in 9th WSEAS International Conference on System Science and Simulation in Engineering (ICOSSSE'10). 2010. Iwate, Japan: WSEAS. 13 D. R. Parhi, “Navigation of mobile Journal of Intelligent and Robotic Systems, vol. 42, no. 35, pp. 253–273, March 2005. 14 Prabhakar Mishra†, Sujith B.S†, Kushal Mall†;”A Novel Path Planning Algorithm for Autonomous Robot Navigation “ICCAIE 2010 15 O. Hachour AND N. MastorakisBehaviour of intelligent autonomous ROBOTIC IAR”, IASME transaction, issue1, volume 1 ISSN 1790-031x WSEAS January 2004,pp 76-86. 1.