Robotics and Automation Whats next? Gunnar Bolmsj 2014-10-31 - - PowerPoint PPT Presentation

Robotics and Automation – What’s next?

Gunnar Bolmsjö 2014-10-31

Background

• Efficient manufacturing provides products at low cost for people
• Developments during WWII generated important technologies
• Servo control
• Computers
• Computer controlled machines and robots scale up
• Capacity, productivity
• Power exerted during operations
• Demographics
• Productivity increase vs. demand increase?
• What’s Next?

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What does a childbearing below the replacement fertility rate mean?

• Fertility rate of approx. 1.9 child per woman
• The population decreases to approx. 80 percent after 100 years
• Fertility rate of approx. 1.3 child per woman
• The population decreases to approx. 25 percent after 100 years
• Fertility rate of 1.5 child per woman
• Critical level to sustain population balance through immigration and society ass a

whole (Source: Mc Donald P. (2000) Gender equity, social institutions and the future of fertility)

• BUT: what about consumption, way of life, trust in society and welfare?

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What’s next?

• Robot soldiers
• Robot hands
• Power, control and cognitive capabilities
• Collaboration human – robot and safe operation  work scenarios
• Explore the unknown: Flagship projects like “Graphene” and “The

Human Brain”

• Produce on demand, anywhere, low waste, controlled quality, low

cost

• Examples from Automatics: two arms, high speed examples, Justin,

iCube, schunk hand, robot soldier  one movie

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Automation a and aut uton

• nom
• my

y – some e e examples es

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Man vs. Machine – developments over time

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7.3 and 11.6 km in 3.5 years 34 km drive in 2 days

The first geologist and scientist brought home superior samples from the moon Apollo 17, 1972 Spirit and Opportunity, Mars, 2004

GB

Autonomy, adaptive control, drones…

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• Audi drive in automatic mode at

Hockenheim Oct 2014

• Autonomous control provides

tremendous opportunities

• Can drone technology be part of

production?

• What are the limits?
• How will this technology change

society, market, behavior?

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Drones and services…

• DHL and Deutsche Post

test fast delivery to an island 12 km in the sea

• Idea: Can this be

implemented in a factory to transport goods between machines or robots?

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R&D i in n man any ar y areas “Joi

• in

n For

• rces” i

in n Aut Automation and and Robot

• botics

cs

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From mass production to mass customization

• Human – machine collaboration
• Smart robots, or robots as a co-

worker

• Additive manufacturing
• Internet of Things – know your

goods

• Big data – know what happens

with you goods

• Cyber Physical Systems – take

control over your goods

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Collaboration mode Photo: GB

Standardization

• Deploy in a harmonized

way

• “Best practice”
• Global reach
• Everything can be made

everywhere – in theory

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Öresund bridge at sunset Photo: GB

New materials – new opportunities

• Graphene
• The Human Brain Project
• Genetics
• Hybrid and composite materials
• Additive processes
• Joining principles – combining

materials

• Speed in the innovation process

is greater than ever before

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BMW i8 Photo: GB

Man anufactu cturi ring i in f n focu cus: s: What i t is thi his? s? P Pol

• liti

tics, s, or

• r wha

hat? t?

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It’s about global competition

• Protecting the welfare state
• Compete in producing goods and services on a globalized market
• Attract people – the future will see a demand for skill and competence
• Create a sustainable society built on stability, trust and safety

One example:

• Money earned for retirement is in reality just numbers on a paper
• The big question is: What can you actually buy for these numbers in 10, 20,

30 years?

• What are you interested in buying?

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Similar programs elsewhere?

Leadership in Manufacturing:

• Industrie 4.0 (Germany)
• Made in the USA – actions by the Obama administration to address

R&D in manufacturing in the USA

• Horizon 2020 – the largest R&D program in the world. Also addressing

production and related areas

• SIO production and similar initiatives in Sweden

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Tren ends a and reflection

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Fierce and global competition

 Skill and competence – a key to success in the future  Speed of change is an irritating important factor today and more in the future  Sustainable manufacturing, industrial services and mass customization  Can demand increase balance increase in productivity?

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From symmetry to asymmetry

• In the past:
• A work or product was valued in relation to the effort (physical or in time) to

make the product or service

• In the near future:
• A work or product will be valued related to functions provided, and no or little

connection to resources spent for producing the product or service

• A few will get all revenue
• how will this affect consumers?
• How will “hard to automate” services survive?

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Conclusions

• R&D from many areas “join forces” into automation and robotics
• Cognitive capabilities multiply the use of future robots
• Collaboration between human and robot(s) combines skill, power and

control

• New materials and processes will provide new and unknown
• pportunities
• Automation has a global outreach today – any cost, any market (if

quality matters)

• The local view: buy robots and outcompete others!
• The global view: do we need all products and services provided?

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