Robotics in Agriculture

Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology Robotics in Agriculture Thomas Herlitzius, Chair Ag...
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Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

Robotics in Agriculture

Thomas Herlitzius, Chair Agricultural Systems and Technology TU Dresden, Bergstraße 120, 01062 Dresden Berlin, 17 January 2013

Organisation Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Mechanization drives Productivity Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

High performance machines today establish productivity by – increased engine power – growing working width – higher operational speed – larger storage volumes weight and dimension have become a major limitation – Process Automation

yet immature

• • • •

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Internal System-and Process Control Machine Fleet Management Process Chain Control Autonomous Machine Control Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

(Why) Robotics in Agriculture productivity today alternatives of the future

Engine Power Growth Tractors, Harvesters

Engine Power [kW]

Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

900 800 700 600

Forage Harvester

11,7 kW a

Axial Combine Conv. Combine Tractors

500 400 300

8,4

kW a

5,0

kW a

1,8

kW a

200 100 0 1960

1970

1980

1990

2000

2010

2020 Year

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

Picture Sources: Manufacturer Product Brochures

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Combine Growth

Increment in 10 years – 2,5 t Weight [t] – 60 kW 20 Width [m] – 2100 l Tank [l*103] – 3 to 4 ft 16

500

24

Power [kW] 450 400 350 300

12

250 200

8

150 power weight platform grain tank

100 50 0 1960

4 0

1970

1980

50 years ago: 45 to 55 kg/kW 12 November 2011

1990

2000

2010

20 years ago: 35 to 45 kg/ kW

Decade

Assuming consistent tendencies in growth of combines, the high spec of 2030 would be: – 21 - 22 t – 490 – 530 kW – 15000 – 16200 l – 35 – 40 ft

Today: 40 to 45 kg/ kW

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

Future: 35 kg/ kW? Slide 6

Visions Around

Source: AGCO

Source: Case Study

Source: Pope Design

Productivity equals Dimensional and Power Growth ?

12 November 2011

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

Slide 7

Cost, Weight

Capacity Growth and Machine Concept Evolution

Extensive solutions: grain tank, shoe size, separator area, tracks, additional axles

1950

Growing cost for value

Preferable cost to price relationship

Today

Automatization solutions: feedrate control, coordinated machines, operator assist Productivity, Customer Value 12 November 2011

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

Slide 8

Grain Harvesting Technology

– Historically every major stage in grain harvesting technology had a peek period around 50 years before new concepts were starting to compete. – Dimensional and weight limitations for road transportation are reached and for large combines exceeded. Axle loads in many cases have negative impact to soil compaction. – Machine guidance and Smart Farming are only two examples of enabling technology for semi and fully autonomous vehicles that is emerging as a future trend.

Self Propelled Combine

Tractor Pulled Combine Binder and Stationary Thresher Stationary Thresher Scythe and Flail 1820 12 November 2011

1900

1950

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

2000 Slide 9

Evolution to Self-Propelled Machines?

– Historically implements became self-propelled and specialized machines – Electrified drives, Machine guidance and Smart Farming are enabling technology for semi and fully autonomous vehicles

self propelled implement tractor pulled implements for cultivation and seeding animal drawn tools tools for manual cultivation

1800 12 November 2011

1900

1950

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2025 Slide 10

Implements become Robots operating in swarms

Cost

Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

swarm of robotic units capacity is multiplied by units

Today

1950 robotic unit small installed capacity highly automated

?

Productivity, Customer Value 12 November 2011

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art Known autonomous vehicles: • Space Research:

Lunochod, Mars Rover

• Military:

UGVs, DARPA Challenge

Quelle: iRobot / Deere

Quelle: NASA

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art Known autonomous vehicles: • Traffic:

DARPA Urban Challenge, Leonie, Google

• Port Logistics:

Fahrerlose Transportsysteme

Quelle: Betonsteinwerk Lintel, Rheda-Wiedenbrück

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art Known autonomous vehicles: • Home Owners: lawn mower, vacuum

Quelle: irobot.com

Quelle: Robomowerusa.com

Quelle: Robomower.biz

12 November 2011

Quelle: Electrolux

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art Known autonomous vehicles: : • Home Owners: lawn mower, vacuum • Field robotic:

documentation, weeding, field robot event

Quelle: HS Osnabrück Quelle: Hortibot, Dänemark

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art

Field Robot Event: student competition: navigation through corn rows in early stage high creativity at zero budget

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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State of the Art Known autonomous vehicles: Design-Studies : • agriculture: Operator Assistance-Systems

Quelle: SeebergDesign

Quelle: CNH

Quelle: Deere

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Further Studies

Leader / Follower Combine Swarm

Quelle: Zhang et al./ MCG 2010

Cultivation Swarm

Quelle: TU-Dresden

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Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Live Examples

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12 November 2011

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

Slide 22

Robotic (Auernhammer 2005) Robotics in Agricultural Farms

Nano – Robots (2030)

Are working within the plant to improve health. Future vision

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Micro – Robots (2020)

Are working at the plant to improve health and growth. First ideas and applications known.

Mini – Robots

Medium & Large – Robots (2015)

Are working at plants from seed to harvest. Singular solutions exist. Handling of large masses in short time limited.

Are working as half or fully autonomous machine systems at scalable productivity. Technology available, first applications as masterslave systems in research

(2015)

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Robotic Systems are Complex

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Trends und Technology

sensor development

productivity

process knowledge

automatisation of machines and processes carriage and propulsion leight weight design

Embedded HW & SW visualisation

data base technology, communication, IT

concept changes of machines Elektrifizierung

reliability and up-time concept changes of processes

Navigation

robotic und autonomy

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Simulation

Annual meeting of the Humboldt Forum for Food and Agriculture, Berlin, Germany

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Challenges Faculty Mechanical Science and Engineering Professorship for Agricultural Systems and Technology

Challenges are: • Cost and safety of autonomous machines. • Process automation is not at a level, where machines could fully operate independent from the operator. • Transport and field setup needs to be addressed without loading the autonomous concepts with major cost. • New system configurations always provides • development risk • acceptance risk • Self-propelled platform needs a propulsion system that is robust and functional under all terrain conditions while doubling weight if storage is filled • Field traffic and fleet management – smaller units  interactions and communication is inflates

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