SlideShare a Scribd company logo
1 of 51
Robotics
Tools,Technologies,
languagesandapplications-
AComprehensive study
18mca012 HardikJoshi
18mca020RohanPandya
18mca006MayankDulera
UnderGuidanceOf
Dr.SaurinParikh
Jens Martensson
List Of Domains of Robotics
Technology
• AssistiveTechnology
• SecurityRobots
• Robotassistedlearning
• IndustrialInspectionRobot
• RescueRobot
• AfloorcleaningRobot
• SwarmRobot
• RobotSuit
• AgricultureRobot
• SmartStrollerRobot
2
Jens Martensson
Security Robots
• In Smart Robot technology researchers introduced the concept of humanoid robot
working as security guards for public places has grown in recent years.
• The demand of security services are growing around the world but companies that
provide the services do not have enough trained personal to satisfy this opportunity.
• Thus, a security robot was developed in order to perform patrols during the night.
And one of the goals is to improve the welcoming of visitors to the mall using a
robot that can also provide security and give information about the mall to the
customers. This technology is not aiming to replace humans, but to improve his
performance in their job allowing them to cover large and remote areas.
3
Jens Martensson
Security Robots : Problems & Solutions
4
Authors Problem Solution Proposed Result Achieved Limitations
[2] The demand of
security services are
growing around the
world but companies
that provide the
services do not have
enough trained
personal to satisfy this
opportunity.
Alexander López et all
introduced a security
robot was developed in
order to perform patrols
during the night. And
One of the goals is to
improve the welcoming
of visitors to the mall
using a robot that can
also provide security and
give information about
the mall to the customers.
The social robots
could improve the
life of the people
not only in their
homes, but also in
open spaces where
security and
attention to
costumers is
needed.
This technology is not aiming
to replace humans, but to
improve his performance in
their job allowing them to
cover large and remote areas.
Jens Martensson
Security Robots: Tools & Technologies
5
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[2] The demand of
security services
are growing
around the world
but companies
that provide the
services do not
have enough
trained personal
to satisfy this
opportunity.
Tools
 sensors
 cameras
 depth camera
 proximity sensors,
Technologies
 One Monitor screen
and GUI
Description
 LIDAR to avoid
obstacles,
 Actuators to move the
arms and head to show
expressions,
 LED eyes to represent
emotional states,
 Microphones and a
pleasant voice to improve
interaction with the
public.
This technology is not aiming to
replace humans, but to improve
his performance in their job
allowing them to cover large and
remote areas.
Jens Martensson
Security Robots: Images
A Smart Robot Image 1
6
Jens Martensson
Robot assisted learning
• In this Research paper Author verify the effectiveness of robot TTS technology in
assisting Korean English language learners to acquire a native-like accent by
correcting the prosodic errors they commonly make. .
• There are two types of RALL (robot-assisted language learning) (a)autonomous
RALL which has its own artificial intelligence, and (b) tele-presence RALL, which
is equipped to provide the tele-presence of educational services through a remote
control.
7
Jens Martensson
Robot assisted learning : Problems &
Solutions
8
Authors Problem Solution Proposed Result Achieved Limitations
[3] Korean English
learners specially
child of first class and
Adults are not
capable to understand
the accent of english
language.
Ji-young et all
introduced robot which
has TTS technology in
assisting Korean
English language
learners to acquire a
native-like accent by
correcting the prosodic
errors they commonly
make.
The social robots
could improve the
life of the people
not only in their
homes, but also in
open spaces where
security and
attention to
costumers is
needed.
This technology is not
aiming to replace humans,
but to improve his
performance in their job
allowing them to cover large
and remote areas.
Jens Martensson
Robot assisted learning : Problems & Solutions
9
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[3] Korean English
learners
specially child
of first class and
Adults are not
capable to
understand the
accent of english
language.
Tools
 TTS engine
 cameras
 depth camera
 proximity sensors,
Technologies
 One Monitor
screen and GUI
Description
 TTS as an effective
instructional tool in
assisting English
language learners to
produce a natural
English accent.
This technology is not aiming
to replace humans, but to
improve his performance in
their job allowing them to
cover large and remote areas.
Jens Martensson
Robot assisted learning : Image
A Robot Assisted Learning Image
10
Jens Martensson
Industrial Inspection Robot
• In this research paper author introduced automated systems which can
climb and works in different regions and take actions in hazardous
environments. It can change different types of surfaces and navigating
through narrow spaces with difficult accessibility.
11
Jens Martensson
Industrial Inspection Robot : Problems &
Solutions
12
Authors Problem Solution Proposed Result Achieved Limitations
[4] Inspection need a
verified person who
inspect proper according
to the situation and now a
days it is difficult to find
people who does this job
honestly.
Hernando Leon-Rodriguez
et all introduced We will
make a robot which can
climb , move, or reached to
that places where human is
unreachable.This robots
provide the possibility of
carrying out inspections in-
service thus preventing
costly outages and safety for
the human operator.
The robots can deploy
sensors to implement
an appropriate
technique to find
defects such as cracks,
inclusions, lamination
debonding and the
extent of corrosion on
steel structures.
It cannot reach in very small
places like the places where ants
leave.
Jens Martensson
Industrial Inspection Robot : Problems & Solutions
13
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[4] Inspection need
a verified person
who inspect
proper according
to the situation
and now a days
it is difficult to
find people who
does this job
honestly.
Tools
 actuator
 body structure is
made of
perforated
aluminium
Technologies
 One Monitor
screen and GUI
Description
 to achieve mobility
along the tube in
100mm diameters
 To reduce its weight,
and support the
electronic devices for
control and wireless
communications.
It cannot reach in very small
places like the places where
ants leave.
Jens Martensson
Industrial Inspection Robot : Images
Industrial Inspection Robot Image 1 Industrial Inspection Robot Image 2
14
Jens Martensson
Assistive Tools
• In first paper researchers introduced “A Smart Walker” that controls the optimal
speed for the walker using the user’s location and other sensory data. Researchers
evaluate this walker with thirteen different residents at three different retirement
homes. Analysis shows that walker with controller is more comfortable than walker
without controller.
• In Second Research Paper Author introduced “Robo-chair” which is designed for
differently abled people. The objective of the research is to convert a normal
powered wheel chair to socially assistive companion robot.
• In Third Research Paper Author focuses on “Body Low back Pain” which is a big
problem at work sites. To overcome this problem researcher introduced
exoskeletons.
15
Jens Martensson
Assistive Tools : Problems & Solutions For
“A Smart Walker”
Authors Problem Solution Proposed Result Achieved Limitations
[1] An elderly age people
normally uses a
traditional walker
without speed
controller and as they
have less balance, it is
safe and comfortable
for them to walk.
Jiwon Shin et al.
have introduces
Smart Walker
equipped with
sensors, Actuators
and software that
controls the speed
of the walker.
Smart walker uses body
sensors to collect
cognitive and sensory
inputs dynamically and
does real time health
monitoring to predict
health condition of the
elderly person and
adjusts the speed of the
walker accordingly
The weight and
dimensions of
the walker is
not suitable for
small elevators
and doors.
16
Jens Martensson
Assistive Tools : Technologies & Tools “A Smart Walker”
17
Autho
rs
Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[1]
An elderly age people
normally uses a
traditional walker
without speed
controller and as they
have less balance, it
is safe and
comfortable for them
to walk.
Tools
 Inclinometer:
 Two hub engines,
 Laser scanner,
 Inclinometer,
 Rotatable camera.
 Beagle Bone
motherboard ,
Technologies
 Tablet computer, both
running Ubuntu.
Description
 Hub engines contain a hall effect sensor for
measuring the rotational speed of the wheel.
 Laser Scanner scans 360◦ at 1◦ resolution
with the speed of 250 ms per one 360◦ scan.
 Inclinometer measures the pitch of the
ground
 Beagle Bone motherboard receives sensory
data and controls actuators.
 Tablet processes computationally intensive
algorithms and acts as a display for the user
interface
The weight and
dimensions of the
walker is not suitable
for small elevators
and doors.
Jens Martensson
Assistive Tools : Images of “A Smart Walker”
A Smart Walker Image 1 A Smart walker Image 2
18
Jens Martensson
Assistive Tools : Problems & Solutions For
“ Assistive Robo Chair”
19
Authors Problem Solution Proposed Result Achieved Limitations
[5] A physically
handicapped
peoples can not
walk they used
normally uses a
wheel chair
without voice
controller and
touch screen
Chandimal
Jayawardena and
Nilufar Baghaei
introduces socially
assistive robo chair.
It is carry a person
and it help for
moving peoples with
different controls.
Socially assistive robo
chair is Integration
with social networks
and Health
educational content
and communication
with family members
can also possible with
use of video
conferencing.
It is move to only
some areas it can not
move to long distance
due to battery issue .
Jens Martensson
Assistive Tools : Technologies & Tools “Assistive Robo Chair”
20
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[5] A physically
handicapped peoples
can not walk they
used normally uses a
wheel chair without
voice controller and
touch screen
Tools
 Kinect sensor
 Main controller
 Touch screen
 Body weight sensor
 Laser range finder
Technologies
 Touch screen tablet
Description
• Kinect sensor is a line of
motion sensing input device.
 Main controller is a main controller
of chair all control done with this.
 With use of touch screen Human can
operate this chair this touch screen.
 Body weight sensor is use for the
body weight
It is move to only
some areas it can not
move to long distance
due to battery issue ..
Jens Martensson
Assistive Tools : Images of “Assistive Robo Chair”
An Assistive Robo Chair Image 1 AAssistive Robo Chair Image 2
21
Jens Martensson
Assistive Tools : Problems & Solutions For
“Exoskeleton Suit”
22
Authors Problem Solution Proposed Result Achieved Limitations
[8] Now-a-days there are
people having back
pain and because of
aging the people is
finding difficulty in
bending doing work
or even sometimes in
walking also and
some people can not
work due to age
problem
In solution Kosuke
Tsuneyasu and
Ayumu Ohno made
a exoskeleton suit
helps the people in
reducing the muscle
fatigue it will
remove back pain
and peoples can
easily move and
walk .
.
The soft
exoskeleton suit
can be used not
only to improve
working
performance
in the construction
site, but also to
augment daily
activities
including sports
This makes them bulky
expensive and suitable
for only a limited
number of motions and
also battery issue and
compressor issue.
Jens Martensson
Assistive Tools : Technologies & Tools “Exoskeleton Suit”
23
Authors Problem Tools And Technologies Description of Tools And
Technologies
Limitations
[8] Now-a-days there are
people having back
pain and because of
aging the people is
finding difficulty in
bending doing work or
even sometimes in
walking also and some
people can not work
due to age problem
Tools
 Artificial
muscle
 Telescopic
sensor
 Air
compressor
 Pressure
transducer
Technologies
 Arduino
Description
 Artificial muscle is connect and
contract, expand with original
muscle.
 Telescopic sensor:- It is monitor
the posture.
• Air compressor is pressure
controlled with controller and
the air supply piping is
supplies to the compressed air.
 Pressure transducer is use for the
magnitude force.
 Arduino is refers to an open-source
electronics platform or board and
the software used to program it.
This makes them bulky
expensive and suitable for
only a limited number of
motions and also battery issue
and compressor issue.
Jens Martensson
Assistive Tools : Images of “Exoskeleton Suit”
An Exoskeleton Suit Image 1 A n Exoskeleton Suit Image 2
24
Jens Martensson
Rescue Robot
• In the Rescue robotos the researchers introduced “Robotic Spreader”
locate and save the survivors in earthquake areas. This spreader tool
drived by hydraulic actuator can spreads the gap from 3cm to 20cm with
lOOOkg payload and make gap between 3cm to 20cm.
25
Jens Martensson
Rescue Robot : Problems & Solutions For
“Robotic Spreader”
26
Authors Problem Solution Proposed Result Achieved Limitations
[6] In the earthquake
movements many
peoples are died
because of the
heavy weights of
any building and
also get stuck
because of this
building so people
can live for long
time.
In solution Zhang
Guowei, and Wang
Cong made robot
robotic spreader it
can lift heavy weight
means 1000kg to
1200kg maximum.
The
robotic spreader can be
used lift heavy building
weights so the stuck
peoples can easily go to
outside.
This robotic
spreader can not
hold the multiple
weight at the same
time and can not
lift more than
1200kg.
Jens Martensson
Rescue Robot : Technologies & Tools “Robotic Spreader”
27
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[6] In the earthquake
movements
many peoples
are died because
of the heavy
weights of any
building and also
get stuck
because of this
building so
people can live
for long time..
Tools
 Camara :
 Hydraulic tube
 Electric hydraulic
pump
 Wireless
communication
operator,
Technologies
 Control Unit :
Description
 Camara is used for view.
 Hydraulic tube is open gap for the
take weight.
 Electric hydraulic pump is convert
the power mechanical power to
hydraulic energy for the take load.
 Wireless communication operator
is use for the radio signal and
wireless signal user to robot.
 Control Unit is control unit all the
radio control and hardware
components controlled by this unit
This robotic spreader can
not hold the multiple
weight at the same time
and can not lift more
than 1200kg
Jens Martensson
Rescue Robot : Images of “Rescue Robot ”
A Rescue Robot Image 1 A Rescue Robot Image 2
28
Jens Martensson
Floor Cleaning Robot
• In the paper researchers introduced “floor cleaning robot” use for the
clean the floor enviroments. A mobile robot with sweeping,vacuum
station and wiping capacity.It can use auto mode and manual mode.In
manual mode it is control with android application.
.
29
Jens Martensson
Floor Cleaning : Problems & Solutions For
“Floor Cleaning Robot”
30
Authors Problem Solution Proposed Result Achieved Limitations
[7]
Cleaning and
taking care of our
domestic
environment have
became a problem
which leades to
unclean floors,
roads, gardens etc.
it is usually
boring,tedious and
repetitive task for
the human
Jiauz Zaman made a
Cleaning Robot robot
can avoid collisions with
dynamic obstacles
through the fusion of
information and clean
the large area in very fast
speed.
Floor Cleaning Robot
clean the floor so the
cleaning efficiencies of
85% and 92% in the auto
mode and manal mode
clean the floor closer to the
wall upto an average
distance of ≈16 cm at a
cleaning rate of ≈180 cm2
/sec
The robot moves in
zig zag partten in
autonomos mode
where you have to
control the robot and
it make gap 15cm to
the wall so that part
can not clean.
Jens Martensson
Floor Cleaning : Technologies & Tools “Floor Cleaning Robot”
31
Authors Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[7] Cleaning and taking
care of our domestic
environment have
became a problem
which leades to
unclean floors, roads,
gardens etc. it is
usually boring,tedious
and repetitive task for
the human
Tools
 Dc Motor
 Centrifugal Fan Casing
 Detachable Dust Cabin
Technologies
 Android application
Description
 Dc Motor is converts direct current
electrical energy into mechanical
energy.
 Centrifugal Fan Casing is a fan it
used for the cleaning
 Detachable Dust Cabin with air
filter it take all the dust
 Android application:- With use of
android application the robot can
use in manual mode.
The weight and
dimensions of the
walker is not
suitable for small
elevators and doors.
Jens Martensson
Floor Cleaning : Images of “Floor Cleaning Robot”
A Floor Cleaning Image 1 A Floor Cleaning Image 2
32
Jens Martensson
Swarm Robot
• Authors of this paper introduced about the SWARM robotic approach, in which the
group of small robots divide the works. And make the finish the work fast as
possible.
33
Jens Martensson
Swarm Robot: Problems & Solutions
Authors Problem Solution Proposed Result Achieved Limitations
[9] One single robot takes much
time than simple multi-robots
less.
Use simple multi-robot
common job to make
work more efficient.
Multiple Small robots Can finish
task faster than one single
robot.
Problem is
dividing the task
between those
robots.
Need to
improve the
algorithms for
this approach.
34
Jens Martensson
Swarm Robot: Technologies & Tools
35
Autho
rs
Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[9]
One single robot
takes much time
than simple multi-
robots
less.companies
that provide the
services do not
have enough
trained personal to
satisfy this
opportunity.
•Tools are individual to
the different robots. We
can use multiple simple
drones.
Description
•Motors: 1 per propeller, drone motors are
rated in “kV” units which equates to the
number of revolutions per minute it can
achieve when a voltage of 1 volt is supplied to the motor
with no load. A faster motor spin will give more flight
power, but requires more power from the battery
resulting in a
decreased flight time.
•Flight Controller: the onboard computer
which interprets incoming signals sent from the pilot and
sends corresponding inputs to the ESC to control the
quadcopter.
•Battery: generally lithium polymer batteries
are used due to high power density and ability to
recharge.
Problem is dividing
the task between
those robots.
Need to improve
the algorithms for
this approach.
Jens Martensson
Swarm Robotics: Images
A SWARM Robotics Image 1 A SWARM Robotics Image 2
36
Jens Martensson
Robot Suit
• There is another technology called HAL Robot Suit, during carrying the human can
get injuries in back and other body part. HAL suit helps users to lift more weights
than normal human can lift. We aim to develop the Hybrid helpful Lims (HAL) so
as to enhance and upgrade the human capabilities supported the frontier science
Cybernics.
37
Jens Martensson
Robot Suit: Problems & Solutions
Authors Problem Solution Proposed Result Achieved Limitations
[10] Problem of carrying the
weights. Getting injured during
lifting the weight.
To avoid this problem,
researchers make HAL
robot to carry weights
without more efforts.
Humans Can carry weight more
than their limitations.
HAL robot can carry
maximum 40kg-50
kg.
38
Jens Martensson
Robot Suit: Technologies & Tools
39
Autho
rs
Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[10]
Problem of carrying
the weights. While
human carrying
more weights than
their limitation can
be getting injured.
•Bioelectrical
sensors,
•Angular sensors,
•Acceleration
sensors,
•Floor reaction force
•Sensors.
Bioelectrical signals,
Including myoelectricity,
are useful and reliable information to
estimate a human’s motion
intentions because the signals are
measured just before corresponding
visible muscle
activities.
It has the
limitation of the
weight.
The user can
carry limited
weight in some
range.
Jens Martensson
Robot Suit: Images
A Robot Suit Image 1 A Robot Suit Image 2
40
Jens Martensson
Agriculture Robot
• In this paper, author presents the Drone Technology in agricultural domain which
can monitor the activity of the farm. The main applications of drone in
agriculture are a unit irrigation, crop watching, and soil and field analysis and
bird management.
41
Jens Martensson
Agriculture Robot: Problems & Solutions
Authors Problem Solution Proposed Result Achieved Limitations
[11] Agriculture sector is the most
promising
sector, dealing with the lot of
problems now a day’s one of the
main problems is labour
unavailability for farming. Other
problems or difficulties are extreme
weatherevents,
inadequate amount and inefficient
application of fertilizer, infection,
diseases, allergies and other health
problems due to chemical
application
Author proposed to invent
the agricultural drones
which can monitor the all
activity of the farm.
Agricultural drone Can
monitoring easily the all farming
activities.
•Need to obtain
government
permission in order
to use.
•Difficult to fly them
in extreme condition.
42
Jens Martensson
Agriculture Robot : Technologies & Tools
43
Autho
rs
Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[11]
Agriculture sector
is the most
promising
sector, dealing with
the lot of problems
now a day’s one of
the main problems
is labour
unavailability for
farming. Other
problems or
difficulties are
extreme weather
events,
inadequate amount
and inefficient
application of
•Chassis,
•Propellers,
•Motors,
•Electronic Speed
Controller,
•Flight Controller,
•Radio Receiver,
•Battery.
Description
•Chassis:
The chassis design is
a trade-off between strength (especially
when
additional weights such as cameras are
attached) and additional weight, which will
require longer propellers and stronger
motors
to lift.
•Propellers: principally effect load the
drone
can carry the speed it can fly and the speed
it
Can manoeuvre.
•Motors: 1 per propeller, drone motors are
rated in “kV” units which equates to the
•Need to obtain
government
permission in order
to use.
•Difficult to fly them
in extreme
condition.
Jens Martensson
Agriculture Robot : Image
A Agriculture Robotic Image 1
44
Jens Martensson
Smart Stroller Robot
• In this paper author introduced about autonomous technology. In this Technology,
there is smart stroller which moves as per human movements, the user don’t need to
touch and to push the stroller.
45
Jens Martensson
Smart Stroller Robot: Problems & Solutions
Authors Problem Solution Proposed Result Achieved Limitations
[12] There comes lots of problem
while moving things in the
stroller, It takes too much
efforts from the human.
Human have to push the
stroller, it takes too much time
to reach at destination.
The Technology proposed
to add ultrasonic censor
in this stroller. So, the cart
moves as per the user’s
movement.
It can be used for baby carrying,
for industrial job and daily
activities.
In this stroller,
human cannot carry
more than 80kg.
46
Jens Martensson
Smart Stroller Robot: Technologies & Tools
47
Autho
rs
Problems Tools And Technologies
Description of Tools And Technologies
Limitations
[12]
There comes lots
of problem while
moving things in
the stroller, It takes
too much efforts
from the human.
Human have to
push the stroller, it
takes too much
time to reach at
destination.
Tools
•ULTRASONIC S
ENSOR,
•DC Motor Driver,
•Atmega Microcontroller
Discription
•ULTRASONIC SENSOR :-It has ranging
distance of 2cm to 500cm. Its quiescent
current
is less than 2mA and its operates on 5V DC.
Ultrasonic sensor works on the
principle of reflection.
•DC Motor Driver:-
L293D is a motor driver integrated circuit
and it acts as current amplifiers. They
accept a low current
control signal from the controller and
provides higher current signal as output.
This higher current signal is
used to drive the motors.
•Atmega Microcontroller:-
Atmega microcontroller is used for
•It has the
limitation of the
weight.
•The user can
carry limited weight
in some range.
Jens Martensson
Smart Stroller Robot: Images
A Smart Stroller Robot Image 1 A Smart Stroller Robot Image 2
48
Jens Martensson
References
1. Jiwon Shin* Ivo Steinmann* Bertrand Meyer*† *Chair of Software Engineering, Department of
Computer Science, ETH Zürich, Switzerland †Software Engineering Lab, Innopolis University,
Kazan, Russia jiwon.shin@inf.ethz.ch, ivost@student.ethz.ch, bertrand.meyer@inf.ethz.ch
2. Alexander López Pontificia Universidad Católica del Perú lopez.alexander@pucp.pe Francisco
Cuéllar Pontificia Universidad Católica del Perú cuellar.ff@pucp.pe
3. Ji-young In Dept. of Linguistics, Chungnam National University Yuseong-ku, Daehak-ro 99
Daejeon, Republic of Korea 82-42-821-6391 injy0729@cnu.ac.kr Jeong-hye Han Cheongju
National University of Education Cheong Nam-ro 2065, Cheongju ChungBuk, Republic of Korea
82-43-299-0853 hanjh@cje.ac.kr
4. Hernando Leon-Rodriguez1,2,3, Tariq Sattar2, Jong-Oh Park 3 1Nueva Granada Military University,
Colombia, hernando.leon@unimilitar.edu.co 2Centre for Automated and Robotic NDT, London
South Bank University, England, sattar@lsbu.ac.uk 3Robot Research Initiative, Chonnam National
University, Korea, sko@jnu.ac.kr (Tel: 82-62-530-1679, Tel: 44 207 815 7051)
5. Chandimal Jayawardena1, Nilufar Baghaei1, Kathiravelu Ganeshan1, and Abdolhossein
Sarrafzadeh1
6. Zhang Guowei, Li Bin, Li Zhiqiang, Wang Cong, Zhang Handuo State Key Laboratory of Robotics
Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, China {
zhgw,libin}@sia.cn Shang hong, Hu Weijian, Zhang Tao National Earthquake Response Support
Service Beijing, China {shong660@ 163.com 49
Jens Martensson
References
7. Arnab K. Bordoloi1, Md. Faheemul Islam2, Jiauz Zaman1, Nabasmita Phukan3 and Nayan M Kakoty3
1Department of Electrical Engineering 2Department of Mechanical Engineering Jorhat Engineering College Jorhat,
INDIA 3Embedded Systems and Robotics Lab School of Engineering Tezpur University Tezpur, INDIA
nkakoty@tezu.ernet.in
8. KosukeTsuneyasu HiroshimaUniversity kosuketsuneyasu@hiroshima-u.ac.jp AyumuOhno
DaiyaIndustryCo.,Ltd ohno@daiyak.co.jp YoshiyukiFukuda DaiyaIndustryCo.,Ltd KazunoriOgawa
DaiyaIndustryCo.,Ltd,Hiroshima University k.ogawa@daiya-lab.jp
9. Yogeswaran Mohan School of Engineering, Monash University, Sunway campus, 46150 Petaling Jaya,
Selangor, Malaysia yogeswaran.mohan@eng.monash.edu.my
10. Yoshiyuki Sankai
11. S. Ahirwar*, R. Swarnkar, S. Bhukya and G. Namwade College of Agricultural Engineering and Technology,
Anand Agricultural University, Godhra, Gujarat-389001, India
12. Kirubasankar D1, Kiran Kumar B2, Mohammad Sikkandar Basha3, Subhash J Department of Electronics and
Communication Engineering, Adhiyamaan College of Engineering, Hosur, TN, India..
50
Thank
You
Robotics

More Related Content

What's hot

Blue eyes technology
Blue eyes technologyBlue eyes technology
Blue eyes technologyHimadri khali
 
IRJET-Arduino based Voice Controlled Robot
IRJET-Arduino based Voice Controlled RobotIRJET-Arduino based Voice Controlled Robot
IRJET-Arduino based Voice Controlled RobotIRJET Journal
 
Skinput Technology
Skinput TechnologySkinput Technology
Skinput Technologyvivek sagar
 
Skinput Technology
Skinput TechnologySkinput Technology
Skinput Technologybiomedicz
 
Skinput technology
Skinput technologySkinput technology
Skinput technologyranjeetdon
 
Skinput technology
Skinput technologySkinput technology
Skinput technology123aleena
 
Wearable Computing and Human Computer Interfaces
Wearable Computing and Human Computer InterfacesWearable Computing and Human Computer Interfaces
Wearable Computing and Human Computer InterfacesJeffrey Funk
 
Skinput technology
Skinput technologySkinput technology
Skinput technologyneha pevekar
 
Blue Eyes Technology
Blue Eyes TechnologyBlue Eyes Technology
Blue Eyes TechnologyColloquium
 
Blue eyes technology ppt. by UTKARSH LOKPRIYE
Blue eyes technology ppt. by UTKARSH LOKPRIYEBlue eyes technology ppt. by UTKARSH LOKPRIYE
Blue eyes technology ppt. by UTKARSH LOKPRIYEUtkarsh Lokpriye
 

What's hot (20)

Blue eyes technology
Blue eyes technologyBlue eyes technology
Blue eyes technology
 
Skinput
SkinputSkinput
Skinput
 
IRJET-Arduino based Voice Controlled Robot
IRJET-Arduino based Voice Controlled RobotIRJET-Arduino based Voice Controlled Robot
IRJET-Arduino based Voice Controlled Robot
 
Skinput Technology
Skinput TechnologySkinput Technology
Skinput Technology
 
skinput technology
skinput technologyskinput technology
skinput technology
 
Blue eyes technology
Blue eyes technologyBlue eyes technology
Blue eyes technology
 
Skinput Technology
Skinput TechnologySkinput Technology
Skinput Technology
 
Arm as a Touchscreen
Arm as a TouchscreenArm as a Touchscreen
Arm as a Touchscreen
 
Skinput technology
Skinput technologySkinput technology
Skinput technology
 
skinput technology
skinput technologyskinput technology
skinput technology
 
Skinput latest technology
Skinput latest technologySkinput latest technology
Skinput latest technology
 
Skinput technology
Skinput technologySkinput technology
Skinput technology
 
Wearable Computing and Human Computer Interfaces
Wearable Computing and Human Computer InterfacesWearable Computing and Human Computer Interfaces
Wearable Computing and Human Computer Interfaces
 
Skinput technology
Skinput technologySkinput technology
Skinput technology
 
Skinput technology
Skinput technologySkinput technology
Skinput technology
 
Blue Eyes Technology
Blue Eyes TechnologyBlue Eyes Technology
Blue Eyes Technology
 
Blue eye technology ppt
Blue eye technology pptBlue eye technology ppt
Blue eye technology ppt
 
Skinput technology
Skinput technologySkinput technology
Skinput technology
 
Blue eyes technology ppt. by UTKARSH LOKPRIYE
Blue eyes technology ppt. by UTKARSH LOKPRIYEBlue eyes technology ppt. by UTKARSH LOKPRIYE
Blue eyes technology ppt. by UTKARSH LOKPRIYE
 
Blue eyes
Blue eyesBlue eyes
Blue eyes
 

Similar to Robotic tools and technologies

IRJET- Can Robots are Changing the World: A Review
IRJET- Can Robots are Changing the World: A ReviewIRJET- Can Robots are Changing the World: A Review
IRJET- Can Robots are Changing the World: A ReviewIRJET Journal
 
ARTIFICIAL INTELLIGENCE AND ROBOTICS
ARTIFICIAL INTELLIGENCE AND ROBOTICS ARTIFICIAL INTELLIGENCE AND ROBOTICS
ARTIFICIAL INTELLIGENCE AND ROBOTICS Abhishek Bhadoria
 
Artificial intelligence_ class 12 KATHIR.pptx
Artificial intelligence_ class 12  KATHIR.pptxArtificial intelligence_ class 12  KATHIR.pptx
Artificial intelligence_ class 12 KATHIR.pptxvaradharajjayakumarv
 
An Assistive System for Visually Impaired People
An Assistive System for Visually Impaired PeopleAn Assistive System for Visually Impaired People
An Assistive System for Visually Impaired PeopleIRJET Journal
 
UNIT1-AI final.pptx
UNIT1-AI final.pptxUNIT1-AI final.pptx
UNIT1-AI final.pptxCS50Bootcamp
 
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...IRJET Journal
 
IRJET - Sign Language Recognition using Neural Network
IRJET - Sign Language Recognition using Neural NetworkIRJET - Sign Language Recognition using Neural Network
IRJET - Sign Language Recognition using Neural NetworkIRJET Journal
 
Navigation Assistance for Visually Challenged People
Navigation Assistance for Visually Challenged PeopleNavigation Assistance for Visually Challenged People
Navigation Assistance for Visually Challenged PeopleIRJET Journal
 
Sixth sense technology ppt
Sixth sense technology pptSixth sense technology ppt
Sixth sense technology pptMohammad Adil
 
Implementation of humanoid robot with using the concept of synthetic brain
Implementation of humanoid robot with using the concept of synthetic brainImplementation of humanoid robot with using the concept of synthetic brain
Implementation of humanoid robot with using the concept of synthetic braineSAT Journals
 
Advance Interaction Techniques
Advance Interaction Techniques Advance Interaction Techniques
Advance Interaction Techniques Waqar_Ali52
 
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIRED
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIREDDRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIRED
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIREDIRJET Journal
 
IEM ECE Electrovision 2013
IEM ECE Electrovision 2013IEM ECE Electrovision 2013
IEM ECE Electrovision 2013agomoni16
 
Object Recognition in Mobile Phone Application for Visually Impaired Users
Object Recognition in Mobile Phone Application for Visually Impaired UsersObject Recognition in Mobile Phone Application for Visually Impaired Users
Object Recognition in Mobile Phone Application for Visually Impaired UsersIOSR Journals
 

Similar to Robotic tools and technologies (20)

IRJET- Can Robots are Changing the World: A Review
IRJET- Can Robots are Changing the World: A ReviewIRJET- Can Robots are Changing the World: A Review
IRJET- Can Robots are Changing the World: A Review
 
ARTIFICIAL INTELLIGENCE AND ROBOTICS
ARTIFICIAL INTELLIGENCE AND ROBOTICS ARTIFICIAL INTELLIGENCE AND ROBOTICS
ARTIFICIAL INTELLIGENCE AND ROBOTICS
 
Artificial intelligence_ class 12 KATHIR.pptx
Artificial intelligence_ class 12  KATHIR.pptxArtificial intelligence_ class 12  KATHIR.pptx
Artificial intelligence_ class 12 KATHIR.pptx
 
using the Leap.pdf
using the Leap.pdfusing the Leap.pdf
using the Leap.pdf
 
An Assistive System for Visually Impaired People
An Assistive System for Visually Impaired PeopleAn Assistive System for Visually Impaired People
An Assistive System for Visually Impaired People
 
APPDEV 1.pptx
APPDEV 1.pptxAPPDEV 1.pptx
APPDEV 1.pptx
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
UNIT I - AI.pptx
UNIT I - AI.pptxUNIT I - AI.pptx
UNIT I - AI.pptx
 
UNIT1-AI final.pptx
UNIT1-AI final.pptxUNIT1-AI final.pptx
UNIT1-AI final.pptx
 
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...
IRJET- Review on Raspberry Pi based Assistive Communication System for Blind,...
 
IRJET - Sign Language Recognition using Neural Network
IRJET - Sign Language Recognition using Neural NetworkIRJET - Sign Language Recognition using Neural Network
IRJET - Sign Language Recognition using Neural Network
 
Navigation Assistance for Visually Challenged People
Navigation Assistance for Visually Challenged PeopleNavigation Assistance for Visually Challenged People
Navigation Assistance for Visually Challenged People
 
Sixth sense technology ppt
Sixth sense technology pptSixth sense technology ppt
Sixth sense technology ppt
 
Implementation of humanoid robot with using the concept of synthetic brain
Implementation of humanoid robot with using the concept of synthetic brainImplementation of humanoid robot with using the concept of synthetic brain
Implementation of humanoid robot with using the concept of synthetic brain
 
Advance Interaction Techniques
Advance Interaction Techniques Advance Interaction Techniques
Advance Interaction Techniques
 
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIRED
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIREDDRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIRED
DRISHTI – A PORTABLE PROTOTYPE FOR VISUALLY IMPAIRED
 
IEM ECE Electrovision 2013
IEM ECE Electrovision 2013IEM ECE Electrovision 2013
IEM ECE Electrovision 2013
 
15mafaz wali--final (1)
15mafaz wali--final (1)15mafaz wali--final (1)
15mafaz wali--final (1)
 
G017133033
G017133033G017133033
G017133033
 
Object Recognition in Mobile Phone Application for Visually Impaired Users
Object Recognition in Mobile Phone Application for Visually Impaired UsersObject Recognition in Mobile Phone Application for Visually Impaired Users
Object Recognition in Mobile Phone Application for Visually Impaired Users
 

Recently uploaded

How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 

Recently uploaded (20)

How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 

Robotic tools and technologies

  • 2. Jens Martensson List Of Domains of Robotics Technology • AssistiveTechnology • SecurityRobots • Robotassistedlearning • IndustrialInspectionRobot • RescueRobot • AfloorcleaningRobot • SwarmRobot • RobotSuit • AgricultureRobot • SmartStrollerRobot 2
  • 3. Jens Martensson Security Robots • In Smart Robot technology researchers introduced the concept of humanoid robot working as security guards for public places has grown in recent years. • The demand of security services are growing around the world but companies that provide the services do not have enough trained personal to satisfy this opportunity. • Thus, a security robot was developed in order to perform patrols during the night. And one of the goals is to improve the welcoming of visitors to the mall using a robot that can also provide security and give information about the mall to the customers. This technology is not aiming to replace humans, but to improve his performance in their job allowing them to cover large and remote areas. 3
  • 4. Jens Martensson Security Robots : Problems & Solutions 4 Authors Problem Solution Proposed Result Achieved Limitations [2] The demand of security services are growing around the world but companies that provide the services do not have enough trained personal to satisfy this opportunity. Alexander López et all introduced a security robot was developed in order to perform patrols during the night. And One of the goals is to improve the welcoming of visitors to the mall using a robot that can also provide security and give information about the mall to the customers. The social robots could improve the life of the people not only in their homes, but also in open spaces where security and attention to costumers is needed. This technology is not aiming to replace humans, but to improve his performance in their job allowing them to cover large and remote areas.
  • 5. Jens Martensson Security Robots: Tools & Technologies 5 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [2] The demand of security services are growing around the world but companies that provide the services do not have enough trained personal to satisfy this opportunity. Tools  sensors  cameras  depth camera  proximity sensors, Technologies  One Monitor screen and GUI Description  LIDAR to avoid obstacles,  Actuators to move the arms and head to show expressions,  LED eyes to represent emotional states,  Microphones and a pleasant voice to improve interaction with the public. This technology is not aiming to replace humans, but to improve his performance in their job allowing them to cover large and remote areas.
  • 6. Jens Martensson Security Robots: Images A Smart Robot Image 1 6
  • 7. Jens Martensson Robot assisted learning • In this Research paper Author verify the effectiveness of robot TTS technology in assisting Korean English language learners to acquire a native-like accent by correcting the prosodic errors they commonly make. . • There are two types of RALL (robot-assisted language learning) (a)autonomous RALL which has its own artificial intelligence, and (b) tele-presence RALL, which is equipped to provide the tele-presence of educational services through a remote control. 7
  • 8. Jens Martensson Robot assisted learning : Problems & Solutions 8 Authors Problem Solution Proposed Result Achieved Limitations [3] Korean English learners specially child of first class and Adults are not capable to understand the accent of english language. Ji-young et all introduced robot which has TTS technology in assisting Korean English language learners to acquire a native-like accent by correcting the prosodic errors they commonly make. The social robots could improve the life of the people not only in their homes, but also in open spaces where security and attention to costumers is needed. This technology is not aiming to replace humans, but to improve his performance in their job allowing them to cover large and remote areas.
  • 9. Jens Martensson Robot assisted learning : Problems & Solutions 9 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [3] Korean English learners specially child of first class and Adults are not capable to understand the accent of english language. Tools  TTS engine  cameras  depth camera  proximity sensors, Technologies  One Monitor screen and GUI Description  TTS as an effective instructional tool in assisting English language learners to produce a natural English accent. This technology is not aiming to replace humans, but to improve his performance in their job allowing them to cover large and remote areas.
  • 10. Jens Martensson Robot assisted learning : Image A Robot Assisted Learning Image 10
  • 11. Jens Martensson Industrial Inspection Robot • In this research paper author introduced automated systems which can climb and works in different regions and take actions in hazardous environments. It can change different types of surfaces and navigating through narrow spaces with difficult accessibility. 11
  • 12. Jens Martensson Industrial Inspection Robot : Problems & Solutions 12 Authors Problem Solution Proposed Result Achieved Limitations [4] Inspection need a verified person who inspect proper according to the situation and now a days it is difficult to find people who does this job honestly. Hernando Leon-Rodriguez et all introduced We will make a robot which can climb , move, or reached to that places where human is unreachable.This robots provide the possibility of carrying out inspections in- service thus preventing costly outages and safety for the human operator. The robots can deploy sensors to implement an appropriate technique to find defects such as cracks, inclusions, lamination debonding and the extent of corrosion on steel structures. It cannot reach in very small places like the places where ants leave.
  • 13. Jens Martensson Industrial Inspection Robot : Problems & Solutions 13 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [4] Inspection need a verified person who inspect proper according to the situation and now a days it is difficult to find people who does this job honestly. Tools  actuator  body structure is made of perforated aluminium Technologies  One Monitor screen and GUI Description  to achieve mobility along the tube in 100mm diameters  To reduce its weight, and support the electronic devices for control and wireless communications. It cannot reach in very small places like the places where ants leave.
  • 14. Jens Martensson Industrial Inspection Robot : Images Industrial Inspection Robot Image 1 Industrial Inspection Robot Image 2 14
  • 15. Jens Martensson Assistive Tools • In first paper researchers introduced “A Smart Walker” that controls the optimal speed for the walker using the user’s location and other sensory data. Researchers evaluate this walker with thirteen different residents at three different retirement homes. Analysis shows that walker with controller is more comfortable than walker without controller. • In Second Research Paper Author introduced “Robo-chair” which is designed for differently abled people. The objective of the research is to convert a normal powered wheel chair to socially assistive companion robot. • In Third Research Paper Author focuses on “Body Low back Pain” which is a big problem at work sites. To overcome this problem researcher introduced exoskeletons. 15
  • 16. Jens Martensson Assistive Tools : Problems & Solutions For “A Smart Walker” Authors Problem Solution Proposed Result Achieved Limitations [1] An elderly age people normally uses a traditional walker without speed controller and as they have less balance, it is safe and comfortable for them to walk. Jiwon Shin et al. have introduces Smart Walker equipped with sensors, Actuators and software that controls the speed of the walker. Smart walker uses body sensors to collect cognitive and sensory inputs dynamically and does real time health monitoring to predict health condition of the elderly person and adjusts the speed of the walker accordingly The weight and dimensions of the walker is not suitable for small elevators and doors. 16
  • 17. Jens Martensson Assistive Tools : Technologies & Tools “A Smart Walker” 17 Autho rs Problems Tools And Technologies Description of Tools And Technologies Limitations [1] An elderly age people normally uses a traditional walker without speed controller and as they have less balance, it is safe and comfortable for them to walk. Tools  Inclinometer:  Two hub engines,  Laser scanner,  Inclinometer,  Rotatable camera.  Beagle Bone motherboard , Technologies  Tablet computer, both running Ubuntu. Description  Hub engines contain a hall effect sensor for measuring the rotational speed of the wheel.  Laser Scanner scans 360◦ at 1◦ resolution with the speed of 250 ms per one 360◦ scan.  Inclinometer measures the pitch of the ground  Beagle Bone motherboard receives sensory data and controls actuators.  Tablet processes computationally intensive algorithms and acts as a display for the user interface The weight and dimensions of the walker is not suitable for small elevators and doors.
  • 18. Jens Martensson Assistive Tools : Images of “A Smart Walker” A Smart Walker Image 1 A Smart walker Image 2 18
  • 19. Jens Martensson Assistive Tools : Problems & Solutions For “ Assistive Robo Chair” 19 Authors Problem Solution Proposed Result Achieved Limitations [5] A physically handicapped peoples can not walk they used normally uses a wheel chair without voice controller and touch screen Chandimal Jayawardena and Nilufar Baghaei introduces socially assistive robo chair. It is carry a person and it help for moving peoples with different controls. Socially assistive robo chair is Integration with social networks and Health educational content and communication with family members can also possible with use of video conferencing. It is move to only some areas it can not move to long distance due to battery issue .
  • 20. Jens Martensson Assistive Tools : Technologies & Tools “Assistive Robo Chair” 20 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [5] A physically handicapped peoples can not walk they used normally uses a wheel chair without voice controller and touch screen Tools  Kinect sensor  Main controller  Touch screen  Body weight sensor  Laser range finder Technologies  Touch screen tablet Description • Kinect sensor is a line of motion sensing input device.  Main controller is a main controller of chair all control done with this.  With use of touch screen Human can operate this chair this touch screen.  Body weight sensor is use for the body weight It is move to only some areas it can not move to long distance due to battery issue ..
  • 21. Jens Martensson Assistive Tools : Images of “Assistive Robo Chair” An Assistive Robo Chair Image 1 AAssistive Robo Chair Image 2 21
  • 22. Jens Martensson Assistive Tools : Problems & Solutions For “Exoskeleton Suit” 22 Authors Problem Solution Proposed Result Achieved Limitations [8] Now-a-days there are people having back pain and because of aging the people is finding difficulty in bending doing work or even sometimes in walking also and some people can not work due to age problem In solution Kosuke Tsuneyasu and Ayumu Ohno made a exoskeleton suit helps the people in reducing the muscle fatigue it will remove back pain and peoples can easily move and walk . . The soft exoskeleton suit can be used not only to improve working performance in the construction site, but also to augment daily activities including sports This makes them bulky expensive and suitable for only a limited number of motions and also battery issue and compressor issue.
  • 23. Jens Martensson Assistive Tools : Technologies & Tools “Exoskeleton Suit” 23 Authors Problem Tools And Technologies Description of Tools And Technologies Limitations [8] Now-a-days there are people having back pain and because of aging the people is finding difficulty in bending doing work or even sometimes in walking also and some people can not work due to age problem Tools  Artificial muscle  Telescopic sensor  Air compressor  Pressure transducer Technologies  Arduino Description  Artificial muscle is connect and contract, expand with original muscle.  Telescopic sensor:- It is monitor the posture. • Air compressor is pressure controlled with controller and the air supply piping is supplies to the compressed air.  Pressure transducer is use for the magnitude force.  Arduino is refers to an open-source electronics platform or board and the software used to program it. This makes them bulky expensive and suitable for only a limited number of motions and also battery issue and compressor issue.
  • 24. Jens Martensson Assistive Tools : Images of “Exoskeleton Suit” An Exoskeleton Suit Image 1 A n Exoskeleton Suit Image 2 24
  • 25. Jens Martensson Rescue Robot • In the Rescue robotos the researchers introduced “Robotic Spreader” locate and save the survivors in earthquake areas. This spreader tool drived by hydraulic actuator can spreads the gap from 3cm to 20cm with lOOOkg payload and make gap between 3cm to 20cm. 25
  • 26. Jens Martensson Rescue Robot : Problems & Solutions For “Robotic Spreader” 26 Authors Problem Solution Proposed Result Achieved Limitations [6] In the earthquake movements many peoples are died because of the heavy weights of any building and also get stuck because of this building so people can live for long time. In solution Zhang Guowei, and Wang Cong made robot robotic spreader it can lift heavy weight means 1000kg to 1200kg maximum. The robotic spreader can be used lift heavy building weights so the stuck peoples can easily go to outside. This robotic spreader can not hold the multiple weight at the same time and can not lift more than 1200kg.
  • 27. Jens Martensson Rescue Robot : Technologies & Tools “Robotic Spreader” 27 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [6] In the earthquake movements many peoples are died because of the heavy weights of any building and also get stuck because of this building so people can live for long time.. Tools  Camara :  Hydraulic tube  Electric hydraulic pump  Wireless communication operator, Technologies  Control Unit : Description  Camara is used for view.  Hydraulic tube is open gap for the take weight.  Electric hydraulic pump is convert the power mechanical power to hydraulic energy for the take load.  Wireless communication operator is use for the radio signal and wireless signal user to robot.  Control Unit is control unit all the radio control and hardware components controlled by this unit This robotic spreader can not hold the multiple weight at the same time and can not lift more than 1200kg
  • 28. Jens Martensson Rescue Robot : Images of “Rescue Robot ” A Rescue Robot Image 1 A Rescue Robot Image 2 28
  • 29. Jens Martensson Floor Cleaning Robot • In the paper researchers introduced “floor cleaning robot” use for the clean the floor enviroments. A mobile robot with sweeping,vacuum station and wiping capacity.It can use auto mode and manual mode.In manual mode it is control with android application. . 29
  • 30. Jens Martensson Floor Cleaning : Problems & Solutions For “Floor Cleaning Robot” 30 Authors Problem Solution Proposed Result Achieved Limitations [7] Cleaning and taking care of our domestic environment have became a problem which leades to unclean floors, roads, gardens etc. it is usually boring,tedious and repetitive task for the human Jiauz Zaman made a Cleaning Robot robot can avoid collisions with dynamic obstacles through the fusion of information and clean the large area in very fast speed. Floor Cleaning Robot clean the floor so the cleaning efficiencies of 85% and 92% in the auto mode and manal mode clean the floor closer to the wall upto an average distance of ≈16 cm at a cleaning rate of ≈180 cm2 /sec The robot moves in zig zag partten in autonomos mode where you have to control the robot and it make gap 15cm to the wall so that part can not clean.
  • 31. Jens Martensson Floor Cleaning : Technologies & Tools “Floor Cleaning Robot” 31 Authors Problems Tools And Technologies Description of Tools And Technologies Limitations [7] Cleaning and taking care of our domestic environment have became a problem which leades to unclean floors, roads, gardens etc. it is usually boring,tedious and repetitive task for the human Tools  Dc Motor  Centrifugal Fan Casing  Detachable Dust Cabin Technologies  Android application Description  Dc Motor is converts direct current electrical energy into mechanical energy.  Centrifugal Fan Casing is a fan it used for the cleaning  Detachable Dust Cabin with air filter it take all the dust  Android application:- With use of android application the robot can use in manual mode. The weight and dimensions of the walker is not suitable for small elevators and doors.
  • 32. Jens Martensson Floor Cleaning : Images of “Floor Cleaning Robot” A Floor Cleaning Image 1 A Floor Cleaning Image 2 32
  • 33. Jens Martensson Swarm Robot • Authors of this paper introduced about the SWARM robotic approach, in which the group of small robots divide the works. And make the finish the work fast as possible. 33
  • 34. Jens Martensson Swarm Robot: Problems & Solutions Authors Problem Solution Proposed Result Achieved Limitations [9] One single robot takes much time than simple multi-robots less. Use simple multi-robot common job to make work more efficient. Multiple Small robots Can finish task faster than one single robot. Problem is dividing the task between those robots. Need to improve the algorithms for this approach. 34
  • 35. Jens Martensson Swarm Robot: Technologies & Tools 35 Autho rs Problems Tools And Technologies Description of Tools And Technologies Limitations [9] One single robot takes much time than simple multi- robots less.companies that provide the services do not have enough trained personal to satisfy this opportunity. •Tools are individual to the different robots. We can use multiple simple drones. Description •Motors: 1 per propeller, drone motors are rated in “kV” units which equates to the number of revolutions per minute it can achieve when a voltage of 1 volt is supplied to the motor with no load. A faster motor spin will give more flight power, but requires more power from the battery resulting in a decreased flight time. •Flight Controller: the onboard computer which interprets incoming signals sent from the pilot and sends corresponding inputs to the ESC to control the quadcopter. •Battery: generally lithium polymer batteries are used due to high power density and ability to recharge. Problem is dividing the task between those robots. Need to improve the algorithms for this approach.
  • 36. Jens Martensson Swarm Robotics: Images A SWARM Robotics Image 1 A SWARM Robotics Image 2 36
  • 37. Jens Martensson Robot Suit • There is another technology called HAL Robot Suit, during carrying the human can get injuries in back and other body part. HAL suit helps users to lift more weights than normal human can lift. We aim to develop the Hybrid helpful Lims (HAL) so as to enhance and upgrade the human capabilities supported the frontier science Cybernics. 37
  • 38. Jens Martensson Robot Suit: Problems & Solutions Authors Problem Solution Proposed Result Achieved Limitations [10] Problem of carrying the weights. Getting injured during lifting the weight. To avoid this problem, researchers make HAL robot to carry weights without more efforts. Humans Can carry weight more than their limitations. HAL robot can carry maximum 40kg-50 kg. 38
  • 39. Jens Martensson Robot Suit: Technologies & Tools 39 Autho rs Problems Tools And Technologies Description of Tools And Technologies Limitations [10] Problem of carrying the weights. While human carrying more weights than their limitation can be getting injured. •Bioelectrical sensors, •Angular sensors, •Acceleration sensors, •Floor reaction force •Sensors. Bioelectrical signals, Including myoelectricity, are useful and reliable information to estimate a human’s motion intentions because the signals are measured just before corresponding visible muscle activities. It has the limitation of the weight. The user can carry limited weight in some range.
  • 40. Jens Martensson Robot Suit: Images A Robot Suit Image 1 A Robot Suit Image 2 40
  • 41. Jens Martensson Agriculture Robot • In this paper, author presents the Drone Technology in agricultural domain which can monitor the activity of the farm. The main applications of drone in agriculture are a unit irrigation, crop watching, and soil and field analysis and bird management. 41
  • 42. Jens Martensson Agriculture Robot: Problems & Solutions Authors Problem Solution Proposed Result Achieved Limitations [11] Agriculture sector is the most promising sector, dealing with the lot of problems now a day’s one of the main problems is labour unavailability for farming. Other problems or difficulties are extreme weatherevents, inadequate amount and inefficient application of fertilizer, infection, diseases, allergies and other health problems due to chemical application Author proposed to invent the agricultural drones which can monitor the all activity of the farm. Agricultural drone Can monitoring easily the all farming activities. •Need to obtain government permission in order to use. •Difficult to fly them in extreme condition. 42
  • 43. Jens Martensson Agriculture Robot : Technologies & Tools 43 Autho rs Problems Tools And Technologies Description of Tools And Technologies Limitations [11] Agriculture sector is the most promising sector, dealing with the lot of problems now a day’s one of the main problems is labour unavailability for farming. Other problems or difficulties are extreme weather events, inadequate amount and inefficient application of •Chassis, •Propellers, •Motors, •Electronic Speed Controller, •Flight Controller, •Radio Receiver, •Battery. Description •Chassis: The chassis design is a trade-off between strength (especially when additional weights such as cameras are attached) and additional weight, which will require longer propellers and stronger motors to lift. •Propellers: principally effect load the drone can carry the speed it can fly and the speed it Can manoeuvre. •Motors: 1 per propeller, drone motors are rated in “kV” units which equates to the •Need to obtain government permission in order to use. •Difficult to fly them in extreme condition.
  • 44. Jens Martensson Agriculture Robot : Image A Agriculture Robotic Image 1 44
  • 45. Jens Martensson Smart Stroller Robot • In this paper author introduced about autonomous technology. In this Technology, there is smart stroller which moves as per human movements, the user don’t need to touch and to push the stroller. 45
  • 46. Jens Martensson Smart Stroller Robot: Problems & Solutions Authors Problem Solution Proposed Result Achieved Limitations [12] There comes lots of problem while moving things in the stroller, It takes too much efforts from the human. Human have to push the stroller, it takes too much time to reach at destination. The Technology proposed to add ultrasonic censor in this stroller. So, the cart moves as per the user’s movement. It can be used for baby carrying, for industrial job and daily activities. In this stroller, human cannot carry more than 80kg. 46
  • 47. Jens Martensson Smart Stroller Robot: Technologies & Tools 47 Autho rs Problems Tools And Technologies Description of Tools And Technologies Limitations [12] There comes lots of problem while moving things in the stroller, It takes too much efforts from the human. Human have to push the stroller, it takes too much time to reach at destination. Tools •ULTRASONIC S ENSOR, •DC Motor Driver, •Atmega Microcontroller Discription •ULTRASONIC SENSOR :-It has ranging distance of 2cm to 500cm. Its quiescent current is less than 2mA and its operates on 5V DC. Ultrasonic sensor works on the principle of reflection. •DC Motor Driver:- L293D is a motor driver integrated circuit and it acts as current amplifiers. They accept a low current control signal from the controller and provides higher current signal as output. This higher current signal is used to drive the motors. •Atmega Microcontroller:- Atmega microcontroller is used for •It has the limitation of the weight. •The user can carry limited weight in some range.
  • 48. Jens Martensson Smart Stroller Robot: Images A Smart Stroller Robot Image 1 A Smart Stroller Robot Image 2 48
  • 49. Jens Martensson References 1. Jiwon Shin* Ivo Steinmann* Bertrand Meyer*† *Chair of Software Engineering, Department of Computer Science, ETH Zürich, Switzerland †Software Engineering Lab, Innopolis University, Kazan, Russia jiwon.shin@inf.ethz.ch, ivost@student.ethz.ch, bertrand.meyer@inf.ethz.ch 2. Alexander López Pontificia Universidad Católica del Perú lopez.alexander@pucp.pe Francisco Cuéllar Pontificia Universidad Católica del Perú cuellar.ff@pucp.pe 3. Ji-young In Dept. of Linguistics, Chungnam National University Yuseong-ku, Daehak-ro 99 Daejeon, Republic of Korea 82-42-821-6391 injy0729@cnu.ac.kr Jeong-hye Han Cheongju National University of Education Cheong Nam-ro 2065, Cheongju ChungBuk, Republic of Korea 82-43-299-0853 hanjh@cje.ac.kr 4. Hernando Leon-Rodriguez1,2,3, Tariq Sattar2, Jong-Oh Park 3 1Nueva Granada Military University, Colombia, hernando.leon@unimilitar.edu.co 2Centre for Automated and Robotic NDT, London South Bank University, England, sattar@lsbu.ac.uk 3Robot Research Initiative, Chonnam National University, Korea, sko@jnu.ac.kr (Tel: 82-62-530-1679, Tel: 44 207 815 7051) 5. Chandimal Jayawardena1, Nilufar Baghaei1, Kathiravelu Ganeshan1, and Abdolhossein Sarrafzadeh1 6. Zhang Guowei, Li Bin, Li Zhiqiang, Wang Cong, Zhang Handuo State Key Laboratory of Robotics Shenyang Institute of Automation, Chinese Academy of Sciences Shenyang, China { zhgw,libin}@sia.cn Shang hong, Hu Weijian, Zhang Tao National Earthquake Response Support Service Beijing, China {shong660@ 163.com 49
  • 50. Jens Martensson References 7. Arnab K. Bordoloi1, Md. Faheemul Islam2, Jiauz Zaman1, Nabasmita Phukan3 and Nayan M Kakoty3 1Department of Electrical Engineering 2Department of Mechanical Engineering Jorhat Engineering College Jorhat, INDIA 3Embedded Systems and Robotics Lab School of Engineering Tezpur University Tezpur, INDIA nkakoty@tezu.ernet.in 8. KosukeTsuneyasu HiroshimaUniversity kosuketsuneyasu@hiroshima-u.ac.jp AyumuOhno DaiyaIndustryCo.,Ltd ohno@daiyak.co.jp YoshiyukiFukuda DaiyaIndustryCo.,Ltd KazunoriOgawa DaiyaIndustryCo.,Ltd,Hiroshima University k.ogawa@daiya-lab.jp 9. Yogeswaran Mohan School of Engineering, Monash University, Sunway campus, 46150 Petaling Jaya, Selangor, Malaysia yogeswaran.mohan@eng.monash.edu.my 10. Yoshiyuki Sankai 11. S. Ahirwar*, R. Swarnkar, S. Bhukya and G. Namwade College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, Gujarat-389001, India 12. Kirubasankar D1, Kiran Kumar B2, Mohammad Sikkandar Basha3, Subhash J Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, TN, India.. 50