The Transformative Force of Robotics & Vision in Industry & Society. Peter Corke

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Transcription:

The Transformative Force of Robotics & Vision in Industry & Society Peter Corke

What is a robot?

Perhaps super-intelligent machines 1977

or perhaps not

2013

Warehouse dispatching Kiva Systems

Robotics put us inside people

Robots move things from A to B B A

Robots move themselves and things from A to B B A

Robots move themselves and BIG things from A to B A B

Where are all the robots?

1997 2016

The sense of sight Vision is our most impressive sense We use it to help with almost everything we do we can see close, and we can see far we see shape, texture, color and movement

Human vision data sheet 120Mpixel 20bit dynamic range 3 colors 2 Vision engine 3x10 10 neurons 500g 6W 3 gyroscopes 2 2 accelerometers

Graphs of our times 105 11 10.6 Population (billions) 10 9 8 7 6 5 High Medium Low 6.1 8.9 7.4 Dependency ratio 85 65 45 4 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 25 1950 1965 1980 1995 2010 2025 2040 2055 2070 2085 2100 Year

Graphs of our times 105 11 10.6 Population (billions) 10 9 8 7 6 5 High Medium Low 6.1 8.9 7.4 Dependency ratio 85 65 45 4 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 25 1950 1965 1980 1995 2010 2025 2040 2055 2070 2085 2100 Year

World population more food 11 10.6 more transportation 10 9 High Medium Low 8.9 more resources (energy, metals, water) 8 Population (billions) 7 6 6.1 7.4 5 4 Population 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050

World population more food 11 10.6 more transportation 10 9 High Medium Low 8.9 more resources (energy, metals, water) 8 Population (billions) 7 6 6.1 7.4 5 4 Population 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050

70% increase in food production by 2050

ARC Centre of Excellence for Robotic Vision roboticvision.org

Agricultural revolution(s) better genetics mechanisation herb/pesticides

Agricultural revolution(s)

3 2.5 SOIL STRESS AT 0.4M DEPTH - PRESSURE (BAR) 2 1.5 1 0.5 0 1930 1940 1980 2010 2012 TIMELINE

The weeds are fighting back herbicide resistant weeds are on the rise

Farmer population by age group: 65+ 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19 10,000 20,000 30,000 - Australia 2020 Summit, The Future of Rural and Regional Australia, April 2008

just like we used to do, and did for thousands of years

Graphs of our times 105 11 10.6 Population (billions) 10 9 8 7 6 5 High Medium Low 6.1 8.9 7.4 Dependency ratio 85 65 4 45 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 25 1950 1965 1980 1995 2010 2025 2040 2055 2070 2085 2100 Year

Dependency ratio Age(0-14) + Age(65+) 105 Age(15-64) 85 Dependency ratio 65 dependents / workers 45 low is good 25 1950 1965 1980 1995 2010 2025 2040 2055 2070 2085 2100 Year high means we need more work per person (greater productivity)

Population pyramids Japan Germany USA China India populationpyramid.net

Health care need Figure 10.3: Elective admissions involving surgery, by sex and age group, all hospitals, 2010 11 Australian hospital statistics 2010-11

hospital corridor picture

Graphs of our times 105 11 10.6 Population (billions) 10 9 8 7 6 5 High Medium Low 6.1 8.9 7.4 Dependency ratio 85 65 4 45 3 2.5 2 1950 1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 25 1950 1965 1980 1995 2010 2025 2040 2055 2070 2085 2100 Year

Environmental change

Managing our biggest asset Three laws of asset management Inspect Inspect Inspect

ARGO floats

CH4 from water storages courtesy CSIRO

Dugong population monitoring.

The future

Robotics is emerging as the next generation of high technology business: Robotics, $10T s of new business McKinsey report on disruptive technologies http://www.mckinsey.com/insights/business_technology/disruptive_technologies

Smart co-workers that understand the task you are doing anticipate what comes next Share the physical load

Knowing where everything and everybody is Enhanced safety Safe transport of material Smart machines as co-workers

Inspecting our growing and ageing infrastructure base

Improved productivity for surgery and handling patients, meals, drugs, linen, samples etc Smart co-workers understand the task you are doing anticipate what comes next

Robots to enhance agricultural productivity sustainable production of more food with less land, lower inputs and fewer farmers treating individual plants

Take home messages Computers move information, robots move stuff from A to B Robots can work 24/7 and are very precise increase productivity Robots don t look like what you might think The applications are almost unlimited Robots are getting better and better (quickly) In the near future robots will be as normal as a smart phone