SlideShare a Scribd company logo
ADVANCED ROBOTICS
awakening technology
12 Disruptive Technologies
CYBER (AI)=RETHINKING
EVERYTHING+NEW PARADIGMS
• RETHINKING HUMAN BEING
• RETHINKING LIFE
• RETHINKING CITY (CREATING NEURA SYSTEM OF
THE CITY)
• RETHINKING PROUCTIVITY, CAPITAL,LABOUR
• RETHINKING INDUSTRY
• RETHINKING ENTERPRISE
• BIO-NANO-INFO TECH CONVERGENCE
• POLITICS
• In 1790 farmers represented 90% of the labor force, but this percentage has declined ever since. By
1840, in the midst of the Industrial Revolution, farmers made up 69% of the labor force, by 1920
only 27%, and by 1990 a measly 2.6%. Advancements in technology have enabled employees to
work in occupations that require less manual labor, but command higher wages for contributions at
more highly-skilled jobs.
• Technology has replaced much of the manual labor required in agriculture. Milking robots save
farmers money and keep cows healthy. Grape-harvesting robots and self-driving tractors are other
examples in this sector. Similar disruptions are taking place in the Agriculture, Forestry, and Fishing
and Hunting sector.
• We estimate that by 2035, robots will replace 316,000, or 60%, of the 530,000 jobs in the sector at
that time. The investment in automation will be enormous – on the order of $16.5 billion through
2035. The resulting gains will also be incredible. GDP generated by the agriculture sector in 2035
will be 55% greater with automation than without, as automation will add $63 billion to GDP by
that time. Similarly, output per worker will be 55% greater with automation than without.
• Today’s farmers are fitting tractors with GPS, autonomous steering, and seed rate monitoring
systems. Companies like Deere DE and Trimble TRMB sell systems and equipment to help sow crops
accurately, prevent overlap, and allow for better strip till2 management. So farmers save fuel,
fertilizer, and time, while improving yield.3
CONTENT
1. Philosophy of Change
2. Core Technologies (control and
automation+Internet/connectivity+CYBER
(AI)+IoT+sensors+accumulators)
3. Timeline
4. Quantity and Growth Rate
5. Generations of Robots (Mechanical/Intelligent/Smart)
6. Competitive Advantages of Robots
7. Classification of Robots(Industrial, Military, Commercial, Personal)
8. Productivity and Growth
9. Prices
10. Density
11. Images
Core Technologies (control and
automation+Internet/connectivity+CYBER
(AI)+IoT+
sensors+accumulators)
c
c
• We are giving to our world a digital nervous
system…
Philosophy of Change
productivity-and-employment-a-structural-
change
Man Vs Machine...Or
Is It Man And
Machine?
• Robots will boost productivity by 25-30% in
many industries and lower labor costs by 18%
or more in certain countries in 2015. They
could also push labor savings at least 30%
higher than they would be otherwise.
• THE BOSTON CONSULTING GROUP
Feb 2015
c
Quantity dynamics
QUANTITY AND CLASSIFICATION OF
ROBOTS (2016-2025)
(MILITARY, INDUSTRIAL, SERVICE, PERSONAL)
AUGUST 29, 2014
ց
ց
ց
ROBOT EVOLUTION
INDUSTRIAL ROBOTS
• In 1961, General Motors deployed the very first
industrial robot. The first Unimate model
weighed 1.8 tons. More than 50 years later, in
2013, almost 162,000 robots were sold
worldwide, and in 2015 more than 1.5 million
robots will be in use. After 50 years of classical
industrial robotization, we are now on the brink
of 50 years of collaboration with service robots. It
is expected that, between 2013 and 2016, around
95,000 new-generation robots will be sold, with a
total value of some 14 billion dollars.
Global-robot-population-heads-
towards-two-million
• According to the IFR, around 50,000 robots will be sold in China during 2014 –
about a quarter of the global total. Between 2015 and 2017, it expects the Chinese
market to expand by at least 25% per year to reach 100,000 machines by 2017,
taking the total number of robots installed in China to more than 400,000. It
reports that growing numbers of Chinese robot manufacturers are entering the
market and predicts that competition with foreign suppliers will increase.
• IFR expects new markets to emerge for industrial robots in applications such
battery-charging stations for electric vehicles, and the production of the high-
power batteries to provide energy storage to buffer renewable energy sources.
• • In a separate report, the IFR says that about 21,000 service robots for
professional use were sold worldwide in 2013 – 4% more than in 2012. Over the
period 2014–2017, its expects sales to increase to about 134,500, with an
estimated value of $18.9bn.
• During 2013, about four million service robots for personal and domestic use,
worth about $1.7bn, were sold worldwide – 28% more than in 2012. IFR estimates
that about 31 million service robots for personal use will be sold between 2014
and 2017.
Global-robot-population-heads-
towards-two-million-
• IFR president Arturo Baroncelli predicts that
between 2015 and 2017, the number of
installed industrial robots will grow by around
12% per year. In the Americas and Europe,
sales will rise by about 6%, and in
Asia/Australia by about 16% per year.
Global-robot-population-heads-
towards-two-million-
• Global robot population heads towards two
million
• drivesncontrols | Posted: 08 Oct 2014, 09:28
• Share:
• More than 200,000 industrial robots will be
installed worldwide this year – 15% more than in
2013 – and the total number in use in factories
around the world could reach two million by the
end of 2017, according to new figures released by
the International Federation of Robotics (IFR).
Prices
PRICES OF INDUSTRIAL ROBOTS
(2016-2025)
PRICES OF ROBOTS
• Prices should drop -20% and performance should
raise -5% p.a. over the next decade. Recent
introduction of robots < $ 40K(e.g. Baxter, UP5)
working alongside humans is eliminating cost,
safety and proramming barriers: robots are now
afordable for SMEs.
• Even SMEs can participate as new robots cost as
little as $25K with attractive economics.
THE BOSTON CONSULTING GROUP
Feb 2015
Density
Classification of Robots
• Industrial (automotive, electrical,…inspection)
• Military( unmanned vehicles,
wearable/exosceletons/cops, unmanned security/cops)
• Commercial
(medical/bionics-prostethics-organs-
exosceletons/surgical/micro-nano/brain-
machine,warehouse/pick, pack, sort/, agricultural,
construction, firefighter)
• Personal
(drones, cars, cleaning, education, entertainment/toys,
wearable, security, household, swams)
INTERACTIVE TIMELINE OF ROBOTICS
QUANTITY AND CLASSIFICATION OF
ROBOTS (2016-2025)
(MILITARY, INDUSTRIAL, SERVICE, PERSONAL)
AUGUST 29, 2014
ց
CLASSIFICATION OF ROBOTS
(MORE DETAILED) (2016-2025)
SERVICE ROBOTS
• Around 8.7 million service robots were sold
globally in 2009, up from some 7 million year-
on-year, according to the Frankfurt-based
International Federation of Robotics.
Of the total, household robots account for
nearly 64 percent and entertainment and
teaching robots 35 percent.
manufacturing, service, transportation
• Advanced robots with enhanced senses, dexterity, and
intelligence can be more practical than human labour
in manufacturing, as well as in a growing number of
service jobs, such as cleaning and maintenance.
Moreover, it is now possible to create cars, trucks,
aircraft, and boats that are completely or partly
autonomous, which could revolutionize
transportation, if regulations allow, as early as 2020
Read more at
http://globaleconomicanalysis.blogspot.com/2016/01/
fourth-industrial-revolution-
robots.html#jdZ2ylJryoijksot.99
SMART ROBOTS
• Smart Robots: A.I., Learning and the Cloud
The fusion of robotics, AI, and Cloud
Computing forms the blueprint for a new
breed of machine: the “learning” robot.
Leading minds in cognitive systems and Cloud
robotics unpack what happens when these
powerful technologies are transplanted into
robots.
Productivity and Growth
productivity-and-employment-a-structural-
change
Industry 4.0
• Robots will boost productivity by 25-30% in
many industries and lower labor costs by 18%
or more in certain countries in 2015. They
could also push labor savings at least 30%
higher than they would be otherwise.
• THE BOSTON CONSULTING GROUP
Feb 2015
Competitive Advantages of Robots
• Capitalizing on RoboticsRobots can fundamentally change how work gets done. They can match
human performance and even improve upon it in many areas. To prepare for and profit from the
robotic megatrend, companies can start by identifying the following:
• Areas of Operations with High Labor Costs. Robotics can provide cost-saving alternatives in many
areas and complement human workers in others.
• Tasks That People Can’t, Won’t, or Shouldn’t Do. Some jobs are too hazardous, unpleasant, or
difficult for human beings—no matter how high the pay. Other tasks are just too mindless,
repetitive, and boring. Robots can liberate workers from hazardous or unappealing jobs.
• Human Skill Gaps. In Japan, developers are exploring ways robots might provide nursing and elder
care. Other scarce and needed skills and capabilities that robots can offer—such as data mining,
rapid analysis, and super speed or strength—exist at levels not present in human beings.
• Mission-Critical Applications. Tasks that demand exceptional precision, flexibility, or speed—such
as electronic-chip production—or that require maneuvering in small spaces lend themselves to
robotics.
• High Complexity. The global nature of business has given rise to convoluted supply chains and vast
supplier networks. Robotics offers a way to centrally manage and execute complex logistics and to
customize products for different markets and even for individual customers.
• Capitalizing on RoboticsRobots can fundamentally change how work gets done. They can match
human performance and even improve upon it in many areas. To prepare for and profit from the
robotic megatrend, companies can start by identifying the following:
• Areas of Operations with High Labor Costs. Robotics can provide cost-saving alternatives in many
areas and complement human workers in others.
• Tasks That People Can’t, Won’t, or Shouldn’t Do. Some jobs are too hazardous, unpleasant, or
difficult for human beings—no matter how high the pay. Other tasks are just too mindless,
repetitive, and boring. Robots can liberate workers from hazardous or unappealing jobs.
• Human Skill Gaps. In Japan, developers are exploring ways robots might provide nursing and elder
care. Other scarce and needed skills and capabilities that robots can offer—such as data mining,
rapid analysis, and super speed or strength—exist at levels not present in human beings.
• Mission-Critical Applications. Tasks that demand exceptional precision, flexibility, or speed—such
as electronic-chip production—or that require maneuvering in small spaces lend themselves to
robotics.
• High Complexity. The global nature of business has given rise to convoluted supply chains and vast
supplier networks. Robotics offers a way to centrally manage and execute complex logistics and to
customize products for different markets and even for individual customers.
Generations of Robots
• Mechanical Automation
• Intelligent/Autonomous
• Smart
PRODUCTIVITY OF ROBOTS
MECHANICAL vs. INTELLEGENT
ROBOTS
• intelligent robot is defined as a mechanical creature
that can function autonomously. “Mechanical” refers
to the fact that a robot is built, constructed; “creature”
signifies that it seems as if a robot has its own
motivation and decision-making processes; and
“functioning autonomously” means that an intelligent
robot – in line with the Industry 4.0 vision – can
perceive and act, and perhaps even reason, in the
foreseeable future. Altogether, this goes further than
traditional automation, which is directed toward the
predictable repetition of actions, even if they are now
becoming increasingly complex
New Generation
Intelligent Robots
Humans delegate certain sensory, mobile and intelligent qualities to
machines.
• Introduction to ai Robotics emphasizes the following five qualities
of intelligent robots:
1. mobility (legs, arms, neck, wrists),
2. perception (sight, hearing, smell and touch),
3. control via a digital central nervous system and
4. a digital brain function, energy supply, and finally,
5. communication via voice, gestures and hearing function.
Unmanned vehicles on land, in the air and under water are important
service applications outside the domain of industrial robots. But there
are also modular robots under development, which can operate
collectively, in swarms.
productivity-and-employment-a-structural-
change
SMART ROBOTS
• Smart Robots: A.I., Learning and the Cloud
The fusion of robotics, AI, and Cloud
Computing forms the blueprint for a new
breed of machine: the “learning” robot.
Leading minds in cognitive systems and Cloud
robotics unpack what happens when these
powerful technologies are transplanted into
robots.
Industry 4.0
Global-robot-population-heads-
towards-two-million
With the workforce aging and labor costs rising, global sales of service robots are
estimated to jump more than 26-fold to $85.5 billion in 2018 from $3.2 billion in 2008,
according to the knowledge economy ministry data. The global robot market could
reach $190 billion in 2020.
who is leading in self-driving cars
October 22, 2015
film “Ex Machina”
2015
A.F.A. - Powered Exoskeleton
Suit for Firefighter
The Daewoo Shipbuilding and Marine
Engineering facility in Okpo-dong, South
Korea has begun testing a prototype version
of a robotic exoskeleton that will let dock
workers lift 220-pound objects in…
Early “Steam Men” Illustrations
Bearded Robot - 1909 – Occultus
/ Barbarossa ( Early Futurism /
Vintage Photography / VIntage
Robot )
Neil Mizen in his "Man-Amplifier"
mockup power suit at Cornell
Aeronautical Labs. 1962
1971 - A computer controlled multi-task
powered exoskeleton for paraplegic
patients - Jack George Grundmann / Ali
Seireg (American) - cybern...
New Rio de Janeiro police department —
Компьютерная графика и анимация
Man Vs Machine...Or
Is It Man And
Machine?
Still of Peter
Weller in
RoboCop (1987)
Buddy the companion robot will be at
CES 2016.
Teaching robot Engkey stands in front of students at an elementary school in Daegu.
(AFP)
(household robots account for nearly 64 percent of all service robots and
entertainment and teaching robots 35 percent)
household robots account for nearly 64 percent օֆ ալլ սեռվիցե ռօբօտս and entertainment and teaching
robots 35 percent
Robot Butler: Big promises in a little humanoid package/ robotic member of the family / Robot Butler: a
personal assistant, valet and majordomo all wrapped in one polycarbonate package.
Toshiba's ChihiraAico humanoid robot won the unofficial “Creepiest Product
Award” at the 2015 International CES. ChihiraAico is designed to resemble a
32-year-old Japanese hostess that makes conversation, sings and could one
day play classical music or take care of people with dementia.
SynTouch Gets $2.5M in Grants for
New Machine Touch Applications
robots-are-coming
NEW GENERATION/ADVANCED / INTELLIGENT
ROBOTICS
HUBO, a multifunctional walking
humanoid robot
an adult-sized automaton that can climb stairs and enter and exit
a car
cloud computing, big data, robots and AI will cause the
biggest changes.
WEF 2016
The Second Machine Age
• On the other side are optimists best represented by Erik Brynjolfsson and Andrew
McAfee, the authors of The Second Machine Age, who are confident that another
golden age lies ahead. The two argue that it takes time for methods of production
to adapt to new technologies, which is why their effects aren’t immediately visible
in productivity stats. In their book, published in 2014, Brynjolfsson and McAfee
reference Paul David, an economic historian. After digging through records of
American factories when they were first electrified, around the turn of the 20th
century, David found it took several decades for plants to retool to optimize the
new source of power. Writes Brynjolfsson: “Only after 30 years—long enough for
the original managers to retire and be replaced by a new generation—did factory
layouts change.” In other words, it wasn’t electricity but the eventual shift to
assembly-line production that eventually kicked off a productivity boom.
• Brynjolfsson says companies are in the early stages of figuring out how to retool
their processes to take advantage of digital tools such as big data and machine
learning. He also says our current method of measuring gross domestic output,
and by extension productivity, does a poor job of capturing the value of free
goods. “If you’re giving an app away for free that does something you used to pay
for, then it’s going to initially make GDP smaller,” Brynjolfsson says.
robots will increase productivity as much as 30 percent in some
industries, including machinery and appliance manufacturing,
and lower total labor costs 18 percent
• Hal Sirkin, a senior partner at Boston Consulting Group, points out
that robots currently perform only about 10 percent of
manufacturing tasks. “We project that over the next 10 years, that
might increase up to 20 or 25 percent. So there is a long way to go
on that productivity curve.” Sirkin and his colleagues at BCG
forecast that by 2025, wide-scale adoption of advanced robots will
increase productivity as much as 30 percent in some industries,
including machinery and appliance manufacturing, and lower total
labor costs 18 percent.
• Whatever you believe about technology’s role in productivity,
there’s broad consensus that the outlook for unskilled workers isn’t
good. In a speech this November, Bank of England Chief Economist
Andy Haldane said he and his staff had modeled the effects of
automation on the U.S. and U.K. labor markets and concluded
that 80 million jobs in the U.S. and 15 million in the U.K. were at
risk.
The bottom line: Tech boosters say automation and other
digital innovations haven’t penetrated enough to show up in
economic data.
• A BCG report from September 2015 that examined the
impact advanced technology could have on Germany’s
manufacturing sector concluded that if 50 percent of
companies adopted new tools such as autonomous robots
and 3D printing by 2025, industrywide revenue could rise
1 percent, leading to an additional 350,000 jobs. If revenue
were to rise only 0.5 percent, however, the result would be
a net loss of 40,000 jobs. “It’s a real possibility that if we do
nothing, that inequality can get worse and more people
end up getting left behind,” Brynjolfsson says. “But it’s not
inevitable, and it comes down to a set of policy decisions
we make. If through technology we can create more and
more wealth for less and less work, then shame on us if
that’s a bad thing.”
The Rise and Fall of American Growth
• To listen to Gordon, not very. “I see stasis
everywhere,” says the scholar, whose new
book, The Rise and Fall of American Growth,
posits that the U.S. economy’s best days are
behind it. “Stasis in the way offices work,
stasis in the way retailers work, and stasis in
the way factories produce goods.”
The Great
Stagnation
How America Ate All the Low-
Hanging Fruit of Modern History
• Annual productivity growth in the U.S. averaged 1.5 percent from the first quarter of 2008
through the same period in 2014. That’s less than half the 3.5 percent rate during the previous
boom, which lasted from 1996 to 2003.
• The data have become fodder for a lively debate about the potential of new technologies to lift
growth. On one side are pessimists such as Gordon and Tyler Cowen, an economist at George
Mason University and the author of The Great Stagnation, a 2011 best-seller whose thesis is
summed up in its subtitle, which in part reads: How America Ate All the Low-Hanging Fruit of
Modern History. Another member of this camp is John Fernald, an economist at the Federal
Reserve Bank of San Francisco who’s considered an expert in measuring technology’s contribution
to productivity. In a 2014 research paper, Fernald made the case that even though IT industries
contributed greatly to the productivity boom of the late ’90s and early 2000s, IT-related
productivity then slowed dramatically.
premature deindustrialization
premature deindustrialization
• Recent developments in robotics and additive
manufacturing now allow firms in advanced
economies to locate production closer to
domestic markets in automated factories,” the
report states. That contrasts with prior waves
of technological innovation, which improved
trade processes and international
communication and saw manufacturing jobs
shift offshore in search of cheap labor.
structural unemployment
• And as if unemployment in parts of the global economy isn't bad
enough, machines will take over our jobs leading to "structural
unemployment" that "may be permanent", according to WEF, as
economies struggle to absorb the unemployed. Around 47 percent
of U.S. jobs could be lost to computers over the next two decades,
according to a 2013 study published by Oxford University
• "History suggests that where automation is available the market
will reach out for it and the question is what new kinds of
employment and work arise from that," Nigel Shadbolt, professor
of artificial intelligence at the University of Southampton, told CNBC
by phone.
• "It is not that we will all end up flipping burgers but that more of us
will have more time to do more work in different areas – social
care, education. There are other ways of creating wealth
Advanced robotics
Advanced robotics

More Related Content

What's hot

History of Robotics
History of RoboticsHistory of Robotics
Humanoid robot by mitesh kumar
Humanoid robot by mitesh kumarHumanoid robot by mitesh kumar
Humanoid robot by mitesh kumar
Mitesh Kumar
 
Robotics
Robotics Robotics
Robotics
Manish Mudaliar
 
Robotics
RoboticsRobotics
Robotics
N Anantha Raman
 
Presentation of robotics
Presentation of roboticsPresentation of robotics
Presentation of robotics
QaiserAnsari3
 
robotics and its components
robotics and its componentsrobotics and its components
robotics and its components
Amandeep Kaur
 
Introduction To Robotics
Introduction To RoboticsIntroduction To Robotics
Introduction To Robotics
parthmullick
 
Robots from sci fi to reality
Robots from sci fi to realityRobots from sci fi to reality
Robots from sci fi to reality
Mehdi Raza
 
robotics in medical science
robotics in medical sciencerobotics in medical science
robotics in medical science
Shubhangini Srivastava
 
Industrial robots presentation
Industrial robots presentationIndustrial robots presentation
Industrial robots presentation
Pratik Thorat
 
Seminar Report Robotics
Seminar Report Robotics Seminar Report Robotics
Seminar Report Robotics
Vivek Yadav
 
Robotics Presentation
Robotics PresentationRobotics Presentation
Robotics Presentation
American International University
 
Robotics.!
Robotics.!Robotics.!
Robotics.!
Ruchi Dukhande
 
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint PresentationZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
zarahmaetiroltalavera
 
ROBOTICS AND ITS APPLICATIONS
ROBOTICS AND ITS APPLICATIONSROBOTICS AND ITS APPLICATIONS
ROBOTICS AND ITS APPLICATIONS
Anmol Seth
 
History of robots
History of robotsHistory of robots
History of robots
Micheal Ogundero
 
Robotics
RoboticsRobotics
Robotics
Shanaz Kareem
 
Robotics
Robotics Robotics
Robotics
Sayantan Saha
 
Humanoid robots
Humanoid robotsHumanoid robots
Humanoid robots
Abhishek Sood
 
Grippers
GrippersGrippers
Grippers
gujjubharat
 

What's hot (20)

History of Robotics
History of RoboticsHistory of Robotics
History of Robotics
 
Humanoid robot by mitesh kumar
Humanoid robot by mitesh kumarHumanoid robot by mitesh kumar
Humanoid robot by mitesh kumar
 
Robotics
Robotics Robotics
Robotics
 
Robotics
RoboticsRobotics
Robotics
 
Presentation of robotics
Presentation of roboticsPresentation of robotics
Presentation of robotics
 
robotics and its components
robotics and its componentsrobotics and its components
robotics and its components
 
Introduction To Robotics
Introduction To RoboticsIntroduction To Robotics
Introduction To Robotics
 
Robots from sci fi to reality
Robots from sci fi to realityRobots from sci fi to reality
Robots from sci fi to reality
 
robotics in medical science
robotics in medical sciencerobotics in medical science
robotics in medical science
 
Industrial robots presentation
Industrial robots presentationIndustrial robots presentation
Industrial robots presentation
 
Seminar Report Robotics
Seminar Report Robotics Seminar Report Robotics
Seminar Report Robotics
 
Robotics Presentation
Robotics PresentationRobotics Presentation
Robotics Presentation
 
Robotics.!
Robotics.!Robotics.!
Robotics.!
 
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint PresentationZarahMaeTirolTalavera Robotics Powerpoint Presentation
ZarahMaeTirolTalavera Robotics Powerpoint Presentation
 
ROBOTICS AND ITS APPLICATIONS
ROBOTICS AND ITS APPLICATIONSROBOTICS AND ITS APPLICATIONS
ROBOTICS AND ITS APPLICATIONS
 
History of robots
History of robotsHistory of robots
History of robots
 
Robotics
RoboticsRobotics
Robotics
 
Robotics
Robotics Robotics
Robotics
 
Humanoid robots
Humanoid robotsHumanoid robots
Humanoid robots
 
Grippers
GrippersGrippers
Grippers
 

Similar to Advanced robotics

Tracking the next megatrend
Tracking the next megatrendTracking the next megatrend
Tracking the next megatrend
Ivan Grishin
 
Tracking the next megatrend
Tracking the next megatrendTracking the next megatrend
Tracking the next megatrend
Richard Lightbound
 
BCG_The_Robotics_Revolution_Sep_2015
BCG_The_Robotics_Revolution_Sep_2015BCG_The_Robotics_Revolution_Sep_2015
BCG_The_Robotics_Revolution_Sep_2015
Justin Rose
 
ROBOTS SLIDES.pptx
ROBOTS SLIDES.pptxROBOTS SLIDES.pptx
ROBOTS SLIDES.pptx
EveryStuff
 
Robotics Introduction Advantanges .pptx
Robotics Introduction Advantanges  .pptxRobotics Introduction Advantanges  .pptx
Robotics Introduction Advantanges .pptx
PrashanthN79
 
Rise of the Automatons: ABB and the Evolution of Robotics
Rise of the Automatons: ABB and the Evolution of RoboticsRise of the Automatons: ABB and the Evolution of Robotics
Rise of the Automatons: ABB and the Evolution of Robotics
Capgemini
 
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRATHE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
Tech Mahindra
 
Robots
RobotsRobots
Robots
Ava Meredith
 
Whats next for automation
Whats next for automationWhats next for automation
Whats next for automation
paul young cpa, cga
 
Creative disruption 4 SMEs
Creative disruption 4 SMEsCreative disruption 4 SMEs
Creative disruption 4 SMEs
International Innovation Centers
 
The Interroll Smart Pallet Mover Optimizing The Material Flow In Production
The Interroll Smart Pallet Mover Optimizing The Material Flow In ProductionThe Interroll Smart Pallet Mover Optimizing The Material Flow In Production
The Interroll Smart Pallet Mover Optimizing The Material Flow In Production
Interroll Group
 
Robotics for Skoltech
Robotics for SkoltechRobotics for Skoltech
Robotics for Skoltech
Albert Yefimov
 
Robotics Today Australia emagazine July 2016
Robotics Today Australia emagazine July 2016Robotics Today Australia emagazine July 2016
Robotics Today Australia emagazine July 2016
Julie Fletcher
 
Future of Robotics
Future of RoboticsFuture of Robotics
Future of Robotics
ijtsrd
 
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.pptFourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
mawande sikibi
 
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.pptFourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
MdAbdullaAlMamun20
 
docPDF-17.pdf
docPDF-17.pdfdocPDF-17.pdf
docPDF-17.pdf
FauziAbdurrohim
 
Robotics -presentation by Aryan Srivastava
Robotics -presentation by Aryan SrivastavaRobotics -presentation by Aryan Srivastava
Robotics -presentation by Aryan Srivastava
Aryan Srivastava
 
Wearable Industrial Robotics—Defining the Workforce of Tomorrow
Wearable Industrial Robotics—Defining the Workforce of TomorrowWearable Industrial Robotics—Defining the Workforce of Tomorrow
Wearable Industrial Robotics—Defining the Workforce of Tomorrow
Sarcos Robotics
 
Human robot technology collaboration (co bot)
Human robot technology collaboration (co bot)Human robot technology collaboration (co bot)
Human robot technology collaboration (co bot)
Sayantan Raha
 

Similar to Advanced robotics (20)

Tracking the next megatrend
Tracking the next megatrendTracking the next megatrend
Tracking the next megatrend
 
Tracking the next megatrend
Tracking the next megatrendTracking the next megatrend
Tracking the next megatrend
 
BCG_The_Robotics_Revolution_Sep_2015
BCG_The_Robotics_Revolution_Sep_2015BCG_The_Robotics_Revolution_Sep_2015
BCG_The_Robotics_Revolution_Sep_2015
 
ROBOTS SLIDES.pptx
ROBOTS SLIDES.pptxROBOTS SLIDES.pptx
ROBOTS SLIDES.pptx
 
Robotics Introduction Advantanges .pptx
Robotics Introduction Advantanges  .pptxRobotics Introduction Advantanges  .pptx
Robotics Introduction Advantanges .pptx
 
Rise of the Automatons: ABB and the Evolution of Robotics
Rise of the Automatons: ABB and the Evolution of RoboticsRise of the Automatons: ABB and the Evolution of Robotics
Rise of the Automatons: ABB and the Evolution of Robotics
 
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRATHE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRA
 
Robots
RobotsRobots
Robots
 
Whats next for automation
Whats next for automationWhats next for automation
Whats next for automation
 
Creative disruption 4 SMEs
Creative disruption 4 SMEsCreative disruption 4 SMEs
Creative disruption 4 SMEs
 
The Interroll Smart Pallet Mover Optimizing The Material Flow In Production
The Interroll Smart Pallet Mover Optimizing The Material Flow In ProductionThe Interroll Smart Pallet Mover Optimizing The Material Flow In Production
The Interroll Smart Pallet Mover Optimizing The Material Flow In Production
 
Robotics for Skoltech
Robotics for SkoltechRobotics for Skoltech
Robotics for Skoltech
 
Robotics Today Australia emagazine July 2016
Robotics Today Australia emagazine July 2016Robotics Today Australia emagazine July 2016
Robotics Today Australia emagazine July 2016
 
Future of Robotics
Future of RoboticsFuture of Robotics
Future of Robotics
 
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.pptFourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
 
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.pptFourth-Industrial-Revolution-by-DR-SA-KANU.ppt
Fourth-Industrial-Revolution-by-DR-SA-KANU.ppt
 
docPDF-17.pdf
docPDF-17.pdfdocPDF-17.pdf
docPDF-17.pdf
 
Robotics -presentation by Aryan Srivastava
Robotics -presentation by Aryan SrivastavaRobotics -presentation by Aryan Srivastava
Robotics -presentation by Aryan Srivastava
 
Wearable Industrial Robotics—Defining the Workforce of Tomorrow
Wearable Industrial Robotics—Defining the Workforce of TomorrowWearable Industrial Robotics—Defining the Workforce of Tomorrow
Wearable Industrial Robotics—Defining the Workforce of Tomorrow
 
Human robot technology collaboration (co bot)
Human robot technology collaboration (co bot)Human robot technology collaboration (co bot)
Human robot technology collaboration (co bot)
 

Recently uploaded

TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 

Recently uploaded (20)

TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 

Advanced robotics

  • 3. CYBER (AI)=RETHINKING EVERYTHING+NEW PARADIGMS • RETHINKING HUMAN BEING • RETHINKING LIFE • RETHINKING CITY (CREATING NEURA SYSTEM OF THE CITY) • RETHINKING PROUCTIVITY, CAPITAL,LABOUR • RETHINKING INDUSTRY • RETHINKING ENTERPRISE • BIO-NANO-INFO TECH CONVERGENCE • POLITICS
  • 4. • In 1790 farmers represented 90% of the labor force, but this percentage has declined ever since. By 1840, in the midst of the Industrial Revolution, farmers made up 69% of the labor force, by 1920 only 27%, and by 1990 a measly 2.6%. Advancements in technology have enabled employees to work in occupations that require less manual labor, but command higher wages for contributions at more highly-skilled jobs. • Technology has replaced much of the manual labor required in agriculture. Milking robots save farmers money and keep cows healthy. Grape-harvesting robots and self-driving tractors are other examples in this sector. Similar disruptions are taking place in the Agriculture, Forestry, and Fishing and Hunting sector. • We estimate that by 2035, robots will replace 316,000, or 60%, of the 530,000 jobs in the sector at that time. The investment in automation will be enormous – on the order of $16.5 billion through 2035. The resulting gains will also be incredible. GDP generated by the agriculture sector in 2035 will be 55% greater with automation than without, as automation will add $63 billion to GDP by that time. Similarly, output per worker will be 55% greater with automation than without. • Today’s farmers are fitting tractors with GPS, autonomous steering, and seed rate monitoring systems. Companies like Deere DE and Trimble TRMB sell systems and equipment to help sow crops accurately, prevent overlap, and allow for better strip till2 management. So farmers save fuel, fertilizer, and time, while improving yield.3
  • 5.
  • 6.
  • 7.
  • 8. CONTENT 1. Philosophy of Change 2. Core Technologies (control and automation+Internet/connectivity+CYBER (AI)+IoT+sensors+accumulators) 3. Timeline 4. Quantity and Growth Rate 5. Generations of Robots (Mechanical/Intelligent/Smart) 6. Competitive Advantages of Robots 7. Classification of Robots(Industrial, Military, Commercial, Personal) 8. Productivity and Growth 9. Prices 10. Density 11. Images
  • 9. Core Technologies (control and automation+Internet/connectivity+CYBER (AI)+IoT+ sensors+accumulators)
  • 10.
  • 11.
  • 12. c
  • 13.
  • 14. c
  • 15. • We are giving to our world a digital nervous system…
  • 17.
  • 19.
  • 20. Man Vs Machine...Or Is It Man And Machine?
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. • Robots will boost productivity by 25-30% in many industries and lower labor costs by 18% or more in certain countries in 2015. They could also push labor savings at least 30% higher than they would be otherwise. • THE BOSTON CONSULTING GROUP Feb 2015 c
  • 26.
  • 28. QUANTITY AND CLASSIFICATION OF ROBOTS (2016-2025) (MILITARY, INDUSTRIAL, SERVICE, PERSONAL) AUGUST 29, 2014 ց ց ց
  • 29. ROBOT EVOLUTION INDUSTRIAL ROBOTS • In 1961, General Motors deployed the very first industrial robot. The first Unimate model weighed 1.8 tons. More than 50 years later, in 2013, almost 162,000 robots were sold worldwide, and in 2015 more than 1.5 million robots will be in use. After 50 years of classical industrial robotization, we are now on the brink of 50 years of collaboration with service robots. It is expected that, between 2013 and 2016, around 95,000 new-generation robots will be sold, with a total value of some 14 billion dollars.
  • 30.
  • 31.
  • 32. Global-robot-population-heads- towards-two-million • According to the IFR, around 50,000 robots will be sold in China during 2014 – about a quarter of the global total. Between 2015 and 2017, it expects the Chinese market to expand by at least 25% per year to reach 100,000 machines by 2017, taking the total number of robots installed in China to more than 400,000. It reports that growing numbers of Chinese robot manufacturers are entering the market and predicts that competition with foreign suppliers will increase. • IFR expects new markets to emerge for industrial robots in applications such battery-charging stations for electric vehicles, and the production of the high- power batteries to provide energy storage to buffer renewable energy sources. • • In a separate report, the IFR says that about 21,000 service robots for professional use were sold worldwide in 2013 – 4% more than in 2012. Over the period 2014–2017, its expects sales to increase to about 134,500, with an estimated value of $18.9bn. • During 2013, about four million service robots for personal and domestic use, worth about $1.7bn, were sold worldwide – 28% more than in 2012. IFR estimates that about 31 million service robots for personal use will be sold between 2014 and 2017.
  • 33. Global-robot-population-heads- towards-two-million- • IFR president Arturo Baroncelli predicts that between 2015 and 2017, the number of installed industrial robots will grow by around 12% per year. In the Americas and Europe, sales will rise by about 6%, and in Asia/Australia by about 16% per year.
  • 34. Global-robot-population-heads- towards-two-million- • Global robot population heads towards two million • drivesncontrols | Posted: 08 Oct 2014, 09:28 • Share: • More than 200,000 industrial robots will be installed worldwide this year – 15% more than in 2013 – and the total number in use in factories around the world could reach two million by the end of 2017, according to new figures released by the International Federation of Robotics (IFR).
  • 35.
  • 36.
  • 38. PRICES OF INDUSTRIAL ROBOTS (2016-2025)
  • 39.
  • 40. PRICES OF ROBOTS • Prices should drop -20% and performance should raise -5% p.a. over the next decade. Recent introduction of robots < $ 40K(e.g. Baxter, UP5) working alongside humans is eliminating cost, safety and proramming barriers: robots are now afordable for SMEs. • Even SMEs can participate as new robots cost as little as $25K with attractive economics. THE BOSTON CONSULTING GROUP Feb 2015
  • 42.
  • 43.
  • 44.
  • 45. Classification of Robots • Industrial (automotive, electrical,…inspection) • Military( unmanned vehicles, wearable/exosceletons/cops, unmanned security/cops) • Commercial (medical/bionics-prostethics-organs- exosceletons/surgical/micro-nano/brain- machine,warehouse/pick, pack, sort/, agricultural, construction, firefighter) • Personal (drones, cars, cleaning, education, entertainment/toys, wearable, security, household, swams)
  • 47. QUANTITY AND CLASSIFICATION OF ROBOTS (2016-2025) (MILITARY, INDUSTRIAL, SERVICE, PERSONAL) AUGUST 29, 2014 ց
  • 48.
  • 49.
  • 50. CLASSIFICATION OF ROBOTS (MORE DETAILED) (2016-2025)
  • 51.
  • 52.
  • 53.
  • 54. SERVICE ROBOTS • Around 8.7 million service robots were sold globally in 2009, up from some 7 million year- on-year, according to the Frankfurt-based International Federation of Robotics. Of the total, household robots account for nearly 64 percent and entertainment and teaching robots 35 percent.
  • 55.
  • 56. manufacturing, service, transportation • Advanced robots with enhanced senses, dexterity, and intelligence can be more practical than human labour in manufacturing, as well as in a growing number of service jobs, such as cleaning and maintenance. Moreover, it is now possible to create cars, trucks, aircraft, and boats that are completely or partly autonomous, which could revolutionize transportation, if regulations allow, as early as 2020 Read more at http://globaleconomicanalysis.blogspot.com/2016/01/ fourth-industrial-revolution- robots.html#jdZ2ylJryoijksot.99
  • 57. SMART ROBOTS • Smart Robots: A.I., Learning and the Cloud The fusion of robotics, AI, and Cloud Computing forms the blueprint for a new breed of machine: the “learning” robot. Leading minds in cognitive systems and Cloud robotics unpack what happens when these powerful technologies are transplanted into robots.
  • 59.
  • 60.
  • 62.
  • 63.
  • 64.
  • 65.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72. • Robots will boost productivity by 25-30% in many industries and lower labor costs by 18% or more in certain countries in 2015. They could also push labor savings at least 30% higher than they would be otherwise. • THE BOSTON CONSULTING GROUP Feb 2015
  • 74. • Capitalizing on RoboticsRobots can fundamentally change how work gets done. They can match human performance and even improve upon it in many areas. To prepare for and profit from the robotic megatrend, companies can start by identifying the following: • Areas of Operations with High Labor Costs. Robotics can provide cost-saving alternatives in many areas and complement human workers in others. • Tasks That People Can’t, Won’t, or Shouldn’t Do. Some jobs are too hazardous, unpleasant, or difficult for human beings—no matter how high the pay. Other tasks are just too mindless, repetitive, and boring. Robots can liberate workers from hazardous or unappealing jobs. • Human Skill Gaps. In Japan, developers are exploring ways robots might provide nursing and elder care. Other scarce and needed skills and capabilities that robots can offer—such as data mining, rapid analysis, and super speed or strength—exist at levels not present in human beings. • Mission-Critical Applications. Tasks that demand exceptional precision, flexibility, or speed—such as electronic-chip production—or that require maneuvering in small spaces lend themselves to robotics. • High Complexity. The global nature of business has given rise to convoluted supply chains and vast supplier networks. Robotics offers a way to centrally manage and execute complex logistics and to customize products for different markets and even for individual customers.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79. • Capitalizing on RoboticsRobots can fundamentally change how work gets done. They can match human performance and even improve upon it in many areas. To prepare for and profit from the robotic megatrend, companies can start by identifying the following: • Areas of Operations with High Labor Costs. Robotics can provide cost-saving alternatives in many areas and complement human workers in others. • Tasks That People Can’t, Won’t, or Shouldn’t Do. Some jobs are too hazardous, unpleasant, or difficult for human beings—no matter how high the pay. Other tasks are just too mindless, repetitive, and boring. Robots can liberate workers from hazardous or unappealing jobs. • Human Skill Gaps. In Japan, developers are exploring ways robots might provide nursing and elder care. Other scarce and needed skills and capabilities that robots can offer—such as data mining, rapid analysis, and super speed or strength—exist at levels not present in human beings. • Mission-Critical Applications. Tasks that demand exceptional precision, flexibility, or speed—such as electronic-chip production—or that require maneuvering in small spaces lend themselves to robotics. • High Complexity. The global nature of business has given rise to convoluted supply chains and vast supplier networks. Robotics offers a way to centrally manage and execute complex logistics and to customize products for different markets and even for individual customers.
  • 80. Generations of Robots • Mechanical Automation • Intelligent/Autonomous • Smart
  • 82.
  • 83. MECHANICAL vs. INTELLEGENT ROBOTS • intelligent robot is defined as a mechanical creature that can function autonomously. “Mechanical” refers to the fact that a robot is built, constructed; “creature” signifies that it seems as if a robot has its own motivation and decision-making processes; and “functioning autonomously” means that an intelligent robot – in line with the Industry 4.0 vision – can perceive and act, and perhaps even reason, in the foreseeable future. Altogether, this goes further than traditional automation, which is directed toward the predictable repetition of actions, even if they are now becoming increasingly complex
  • 84. New Generation Intelligent Robots Humans delegate certain sensory, mobile and intelligent qualities to machines. • Introduction to ai Robotics emphasizes the following five qualities of intelligent robots: 1. mobility (legs, arms, neck, wrists), 2. perception (sight, hearing, smell and touch), 3. control via a digital central nervous system and 4. a digital brain function, energy supply, and finally, 5. communication via voice, gestures and hearing function. Unmanned vehicles on land, in the air and under water are important service applications outside the domain of industrial robots. But there are also modular robots under development, which can operate collectively, in swarms.
  • 86. SMART ROBOTS • Smart Robots: A.I., Learning and the Cloud The fusion of robotics, AI, and Cloud Computing forms the blueprint for a new breed of machine: the “learning” robot. Leading minds in cognitive systems and Cloud robotics unpack what happens when these powerful technologies are transplanted into robots.
  • 88.
  • 90.
  • 91. With the workforce aging and labor costs rising, global sales of service robots are estimated to jump more than 26-fold to $85.5 billion in 2018 from $3.2 billion in 2008, according to the knowledge economy ministry data. The global robot market could reach $190 billion in 2020.
  • 92. who is leading in self-driving cars October 22, 2015
  • 93.
  • 94.
  • 95.
  • 96.
  • 98.
  • 99. A.F.A. - Powered Exoskeleton Suit for Firefighter
  • 100.
  • 101.
  • 102. The Daewoo Shipbuilding and Marine Engineering facility in Okpo-dong, South Korea has begun testing a prototype version of a robotic exoskeleton that will let dock workers lift 220-pound objects in…
  • 103. Early “Steam Men” Illustrations
  • 104.
  • 105. Bearded Robot - 1909 – Occultus / Barbarossa ( Early Futurism / Vintage Photography / VIntage Robot )
  • 106.
  • 107. Neil Mizen in his "Man-Amplifier" mockup power suit at Cornell Aeronautical Labs. 1962
  • 108. 1971 - A computer controlled multi-task powered exoskeleton for paraplegic patients - Jack George Grundmann / Ali Seireg (American) - cybern...
  • 109. New Rio de Janeiro police department — Компьютерная графика и анимация
  • 110.
  • 111.
  • 112. Man Vs Machine...Or Is It Man And Machine?
  • 113. Still of Peter Weller in RoboCop (1987)
  • 114. Buddy the companion robot will be at CES 2016.
  • 115. Teaching robot Engkey stands in front of students at an elementary school in Daegu. (AFP) (household robots account for nearly 64 percent of all service robots and entertainment and teaching robots 35 percent)
  • 116. household robots account for nearly 64 percent օֆ ալլ սեռվիցե ռօբօտս and entertainment and teaching robots 35 percent Robot Butler: Big promises in a little humanoid package/ robotic member of the family / Robot Butler: a personal assistant, valet and majordomo all wrapped in one polycarbonate package.
  • 117. Toshiba's ChihiraAico humanoid robot won the unofficial “Creepiest Product Award” at the 2015 International CES. ChihiraAico is designed to resemble a 32-year-old Japanese hostess that makes conversation, sings and could one day play classical music or take care of people with dementia.
  • 118.
  • 119. SynTouch Gets $2.5M in Grants for New Machine Touch Applications
  • 121.
  • 122.
  • 123.
  • 124.
  • 125. HUBO, a multifunctional walking humanoid robot an adult-sized automaton that can climb stairs and enter and exit a car
  • 126.
  • 127.
  • 128. cloud computing, big data, robots and AI will cause the biggest changes. WEF 2016
  • 129. The Second Machine Age • On the other side are optimists best represented by Erik Brynjolfsson and Andrew McAfee, the authors of The Second Machine Age, who are confident that another golden age lies ahead. The two argue that it takes time for methods of production to adapt to new technologies, which is why their effects aren’t immediately visible in productivity stats. In their book, published in 2014, Brynjolfsson and McAfee reference Paul David, an economic historian. After digging through records of American factories when they were first electrified, around the turn of the 20th century, David found it took several decades for plants to retool to optimize the new source of power. Writes Brynjolfsson: “Only after 30 years—long enough for the original managers to retire and be replaced by a new generation—did factory layouts change.” In other words, it wasn’t electricity but the eventual shift to assembly-line production that eventually kicked off a productivity boom. • Brynjolfsson says companies are in the early stages of figuring out how to retool their processes to take advantage of digital tools such as big data and machine learning. He also says our current method of measuring gross domestic output, and by extension productivity, does a poor job of capturing the value of free goods. “If you’re giving an app away for free that does something you used to pay for, then it’s going to initially make GDP smaller,” Brynjolfsson says.
  • 130. robots will increase productivity as much as 30 percent in some industries, including machinery and appliance manufacturing, and lower total labor costs 18 percent • Hal Sirkin, a senior partner at Boston Consulting Group, points out that robots currently perform only about 10 percent of manufacturing tasks. “We project that over the next 10 years, that might increase up to 20 or 25 percent. So there is a long way to go on that productivity curve.” Sirkin and his colleagues at BCG forecast that by 2025, wide-scale adoption of advanced robots will increase productivity as much as 30 percent in some industries, including machinery and appliance manufacturing, and lower total labor costs 18 percent. • Whatever you believe about technology’s role in productivity, there’s broad consensus that the outlook for unskilled workers isn’t good. In a speech this November, Bank of England Chief Economist Andy Haldane said he and his staff had modeled the effects of automation on the U.S. and U.K. labor markets and concluded that 80 million jobs in the U.S. and 15 million in the U.K. were at risk.
  • 131. The bottom line: Tech boosters say automation and other digital innovations haven’t penetrated enough to show up in economic data. • A BCG report from September 2015 that examined the impact advanced technology could have on Germany’s manufacturing sector concluded that if 50 percent of companies adopted new tools such as autonomous robots and 3D printing by 2025, industrywide revenue could rise 1 percent, leading to an additional 350,000 jobs. If revenue were to rise only 0.5 percent, however, the result would be a net loss of 40,000 jobs. “It’s a real possibility that if we do nothing, that inequality can get worse and more people end up getting left behind,” Brynjolfsson says. “But it’s not inevitable, and it comes down to a set of policy decisions we make. If through technology we can create more and more wealth for less and less work, then shame on us if that’s a bad thing.”
  • 132. The Rise and Fall of American Growth • To listen to Gordon, not very. “I see stasis everywhere,” says the scholar, whose new book, The Rise and Fall of American Growth, posits that the U.S. economy’s best days are behind it. “Stasis in the way offices work, stasis in the way retailers work, and stasis in the way factories produce goods.”
  • 133. The Great Stagnation How America Ate All the Low- Hanging Fruit of Modern History • Annual productivity growth in the U.S. averaged 1.5 percent from the first quarter of 2008 through the same period in 2014. That’s less than half the 3.5 percent rate during the previous boom, which lasted from 1996 to 2003. • The data have become fodder for a lively debate about the potential of new technologies to lift growth. On one side are pessimists such as Gordon and Tyler Cowen, an economist at George Mason University and the author of The Great Stagnation, a 2011 best-seller whose thesis is summed up in its subtitle, which in part reads: How America Ate All the Low-Hanging Fruit of Modern History. Another member of this camp is John Fernald, an economist at the Federal Reserve Bank of San Francisco who’s considered an expert in measuring technology’s contribution to productivity. In a 2014 research paper, Fernald made the case that even though IT industries contributed greatly to the productivity boom of the late ’90s and early 2000s, IT-related productivity then slowed dramatically.
  • 135. premature deindustrialization • Recent developments in robotics and additive manufacturing now allow firms in advanced economies to locate production closer to domestic markets in automated factories,” the report states. That contrasts with prior waves of technological innovation, which improved trade processes and international communication and saw manufacturing jobs shift offshore in search of cheap labor.
  • 136. structural unemployment • And as if unemployment in parts of the global economy isn't bad enough, machines will take over our jobs leading to "structural unemployment" that "may be permanent", according to WEF, as economies struggle to absorb the unemployed. Around 47 percent of U.S. jobs could be lost to computers over the next two decades, according to a 2013 study published by Oxford University • "History suggests that where automation is available the market will reach out for it and the question is what new kinds of employment and work arise from that," Nigel Shadbolt, professor of artificial intelligence at the University of Southampton, told CNBC by phone. • "It is not that we will all end up flipping burgers but that more of us will have more time to do more work in different areas – social care, education. There are other ways of creating wealth

Editor's Notes

  1. http://ark-invest.com/industrial-innovation/robots-could-save-the-agriculture-sector-billions
  2. http://labs.sogeti.com/web-world-starts-marrying-ot/
  3. https://www.pinterest.com/pin/18858892165115776/
  4. https://www.pinterest.com/pin/18858892165115776/
  5. https://www.pinterest.com/pin/18858892165115776/
  6. https://www.pinterest.com/pin/18858892165115776/
  7. https://natewkratzer.wordpress.com/2013/07/07/robots-will-take-all-of-our-jobs-but-who-will-benefit-from-their-work/
  8. https://econfuture.wordpress.com/2011/06/07/productivity-and-employment-a-structural-change/
  9. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  10. v
  11. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  12. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  13. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  14. http://www.armedrobots.com/wp-content/uploads/2013/12/Global-Robot-Population.jpg
  15. http://robotenomics.com/tag/robot-economy/ http://robotenomics.com/2014/08/29/5-weekend-reads-in-robotics-drones-and-their-economic-impact/
  16. http://www.roboticsbusinessreview.com/article/forecast_advanced_industrial_robots_to_power_new_wave_of_productivity
  17. http://www.armedrobots.com/wp-content/uploads/2013/12/Global-Robot-Population.jpg
  18. http://en.ofweek.com/news/Global-robot-population-heads-towards-two-million-19170
  19. http://en.ofweek.com/news/Global-robot-population-heads-towards-two-million-19170
  20. http://en.ofweek.com/news/Global-robot-population-heads-towards-two-million-19170
  21. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing Robots will boost productivity by 25-30% in many industries and lower labor costs by 18% or more in certain countries in 2015. They could also push labor savings at least 30% higher than they would be otherwise. Prices should drop -20% and performance should raise -5% p.a. over the next decade. Recent introduction of robots < $ 40K(e.g. Baxter, UP5) working alongside humans is eliminating cost, safety and proramming barriers: robots are noq afordable for SMEs. THE BOSTON CONSULTING GROUP Feb 2015
  22. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing Even SMEs can participate as new robots cost as little as $25K with attractive economics. THE BOSTON CONSULTING GROUP Feb 2015
  23. (2016-2025)
  24. v
  25. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  26. http://latestnewslink.com/2012/12/why-we-should-replace-human-workers-with-robots/
  27. http://www.ft.com/cms/s/0/a5cca8c0-e70c-11e3-aa93-00144feabdc0.html#axzz415rZWcN0
  28. https://www.bcgperspectives.com/content/interactive/business_unit_strategy_growth_evolution_of_robotics/
  29. http://robotenomics.com/tag/robot-economy/ http://robotenomics.com/2014/08/29/5-weekend-reads-in-robotics-drones-and-their-economic-impact/
  30. http://press.pwc.com/News-releases/boosting-business-productivity-and-driving-innovation--ceos-welcome-robotics-revolution/s/a137846b-ebb8-43dd-86b5-66e892c9db1f
  31. http://futurehumanevolution.com/introduction-to-robotics
  32. http://futurehumanevolution.com/introduction-to-robotics
  33. http://www.koreaherald.com/view.php?ud=20110118000723
  34. https://www.tractica.com/newsroom/press-releases/agricultural-robot-shipments-to-reach-nearly-1-million-units-annually-by-2024/ Tractica expects that the market for agricultural robots will develop rapidly in the next 5 years, as compared with the previous 5 years, while providing significant market opportunities to various market participants. Tractica anticipates that the overall agricultural robot market will reach $3 billion by the end of 2015. The market is anticipated to maintain a healthy growth rate and will reach $16.8 billion by the end of 2020. Tractica forecasts that the market will continue its momentum further to reach $73.9 billion by 2024.
  35. http://www.roboticstrends.com/article/6_robotics_sights_to_see_at_ces_2016
  36. https://natewkratzer.wordpress.com/2013/07/07/robots-will-take-all-of-our-jobs-but-who-will-benefit-from-their-work/
  37. https://econfuture.wordpress.com/2011/06/07/productivity-and-employment-a-structural-change/
  38. http://www.fr.sogeti.com/globalassets/global/downloads/reports/vint-research-3-the-fourth-industrial-revolution
  39. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  40. v
  41. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  42. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  43. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  44. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  45. https://www.bcgperspectives.com/content/articles/business_unit_strategy_innovation_rise_of_robotics/
  46. http://www.econlife.com/farm-productivity-grows-with-robot-milkers/
  47. v
  48. http://robotenomics.com/tag/robot-economy/
  49. https://www.linkedin.com/pulse/how-robots-impacting-recruitment-supply-chain-radu-palamariu-7
  50. https://www.bcgperspectives.com/content/articles/business_unit_strategy_innovation_rise_of_robotics/
  51. http://www.pwc.com/us/en/technology-forecast/2015/robotics/features/service-robots-big-productivity-platform.html
  52. http://www.slideshare.net/TheBostonConsultingGroup/robotics-in-manufacturing
  53. https://econfuture.wordpress.com/2011/06/07/productivity-and-employment-a-structural-change/
  54. http://www.roboticstrends.com/article/6_robotics_sights_to_see_at_ces_2016
  55. http://www.fr.sogeti.com/globalassets/global/downloads/reports/vint-research-3-the-fourth-industrial-revolution
  56. https://www.pinterest.com/pin/196117758751642788/
  57. http://en.ofweek.com/news/Global-robot-population-heads-towards-two-million-19170
  58. http://octopuz.com/2015/01/industrial-robot-sales-booming-octopuz-joins-trend/
  59. http://www.koreaherald.com/view.php?ud=20110118000723
  60. https://www.washingtonpost.com/news/innovations/wp/2015/10/22/four-takeaways-from-a-new-report-on-who-is-leading-in-self-driving-cars/
  61. Advanced robots with enhanced senses, dexterity, and intelligence can be more practical than human labour in manufacturing, as well as in a growing number of service jobs, such as cleaning and maintenance. Moreover, it is now possible to create cars, trucks, aircraft, and boats that are completely or partly autonomous, which could revolutionize transportation, if regulations allow, as early as 2020 Read more at http://globaleconomicanalysis.blogspot.com/2016/01/fourth-industrial-revolution-robots.html#jdZ2ylJryoijksot.99
  62. http://www.nytimes.com/2015/04/05/movies/ex-machina-features-a-new-robot-for-the-screen.html
  63. http://www.yankodesign.com/2014/05/19/the-iron-man-of-firefighting/
  64. http://www.dailymail.co.uk/tvshowbiz/article-2272415/Tom-Cruise-wears-military-attire-returns-filming-London-Robocop-esque-warriors.html
  65. http://www.core77.com/posts/21495/ekso-bionics-to-begin-shipping-exoskeletons-for-paraplegics-this-year-21495?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3a+core77%2fblog+(Core77.com%27s+design+blog)
  66. http://cyberneticzoo.com/category/steammen/
  67. http://olupi-reblogs.tumblr.com/post/15624995928/the-robot-barbarossa
  68. http://enzantengyou.tumblr.com/post/15874496695
  69. http://www.ufunk.net/en/photos/des-filles-et-des-robots-vintages/
  70. http://www.roboticstrends.com/article/6_robotics_sights_to_see_at_ces_2016
  71. http://www.koreaherald.com/view.php?ud=20110118000723
  72. http://mashable.com/2014/11/06/robot-butler-brandspeak/?utm_cid=mash-com-pin-link&crlt.pid=camp.zOGsIXpYk3If#WvcVKo.HeGqC
  73. http://www.roboticsbusinessreview.com/article/syntouch_gets_2_5m_in_grants_for_new_machine_touch_applications
  74. http://www.fr.sogeti.com/globalassets/global/downloads/reports/vint-research-3-the-fourth-industrial-revolution
  75. What will artificial intelligence mean for the world of work?
  76. http://www.weforum.org/agenda/2016/01/what-happens-when-robots-take-our-jobs
  77. http://www.dailymail.co.uk/sciencetech/article-3408366/Here-come-robots-Davos-bosses-brace-big-technology-shocks.html
  78. http://www.weforum.org/agenda/2016/01/what-happens-when-robots-take-our-jobs
  79. http://futurism.com/images/age-automation-welcome-next-great-revolution/?src=home
  80.  http://www.dailymail.co.uk/sciencetech/article-3408366/Here-come-robots-Davos-bosses-brace-big-technology-shocks.html#ixzz41Hw7IpBi  Follow us: @MailOnline on Twitter | DailyMail on Facebook
  81. http://www.bloomberg.com/news/articles/2016-01-19/davos-theme-better-living-through-robots
  82. http://www.bloomberg.com/news/articles/2016-01-19/davos-theme-better-living-through-robots
  83. http://www.bloomberg.com/news/articles/2016-01-19/davos-theme-better-living-through-robots
  84. http://www.bloomberg.com/news/articles/2016-01-19/davos-theme-better-living-through-robots
  85. http://www.bloomberg.com/news/articles/2016-01-19/davos-theme-better-living-through-robots
  86. http://www.bloomberg.com/news/articles/2016-01-28/is-the-outlook-for-developing-nations-darkened-by-a-robot-future-
  87. http://www.bloomberg.com/news/articles/2016-01-28/is-the-outlook-for-developing-nations-darkened-by-a-robot-future-
  88. http://www.cnbc.com/2015/01/21/davos-risks-robots-taking-jobs-genetic-murder-weapons.html