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GCRI · Pîşesaziya pêşketî û robotîk

Robotics in industry

Robotics and automation is the technology this platform stewards for the network. It covers the design, control, safety and integration of robots in production, logistics and inspection, and how they work alongside people.

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01Naverok

Robotics in industry in five parts.

Protokol5 steps
  1. 01ApplicationWhat robotics and automation does here
  2. 02DaneWhat the method consumes
  3. 03ErêkirinHow results are checked
  4. 04ConnectionsTopics that rely on this method
  5. 05StewardshipWho maintains the method
02Application

What robotics and automation does here.

Robotics and automation design machines that sense, decide and act in physical environments. They are used in manufacturing, logistics, inspection and disaster response, and change patterns of xetera xebitandinê and labour. In industry and robotics, work and skills and trade, resources and supply chains, automation can reduce human exposure to hazardous tasks and speed recovery operations. It also concentrates dependence on software, sensors and supply chains. The canonical description is on STEM Commons.

Robot cell risk assessment

Each robot application is assessed for hazards from motion, tools and maintenance, and safeguards are chosen and verified against robot safety standards before operation.

Vision-guided handling

Machine vision lets robots handle variable parts. Performance is tested across part variations, lighting and wear, with failure modes documented.

Collaborative workstation design

Shared workstations are designed with force, speed and separation limits and ergonomic layouts, and validated with the workers who use them.

03Çavdêrî bike

Verification and test.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

Verification and test

Industry and robotics · Robotics in industry · Run R-3272

Test campaignGCRI · Pîşesaziya pêşketî û robotîk

Requirements coverage

REQ-01 safe stop3333Hatiye girtin
REQ-07 fault detection69Valahî
REQ-12 timing2618Hatiye girtin

Method card

Rêbaz
Robotîk û otomasyon
Standard
traceability matrix
Nirxandkar
independent
Nîşan
MODELKIRÎ

Findings by severity

050100count, illustrativeKêmNavînBilindCritical
Verification and test: the screen’s structure, terms and states for Industry and robotics.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
04Dane

What the method consumes.

Datasets and records used by robotics and automation on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
Robot specificationsKapasîteDECLARED
Safety validation recordsRastandinÇAVDÊRÎKIRÎ
Incident reportsFailure modesREPORTED
05Simulator

Şokek di ekonomiyeke têketin-derketinê de.

A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction.

Kontrol

Sektora ya yekem lêketî (cih di lîsteyê de)
0
Mezinahiya şokê
30% ji derhênana wê
Dirêjahiya şokê
30 days
Rêjeya başbûnê
0.08 rojane
Rojên simulekirî
180 days

Xwendin

Zincîra pêvajoyê di wateya CEOS Analysis Ready Data de; her gav nediyariya xwe tomar dike berî ku wêne were xêzkirin. Avahiyeke giştî ye, ne encam.
0.92% of a year’s output
Tevahî li hemberî rasterast (pirkir)
1.59 times
Sektora din a herî zêde bandor lê hatiye kirin
Bazirganî
Lûtkeya nexebitandina wê
3.9%
Jimar, rêbaz û çavkanî
SektorLûtkeya nexebitandinê (%)Giraniya derxistinê (%)
Çandinî29.8827.3
Enerjî0.2315.2
Çêkerî0.5317.0
Veguhastin û benderan3.6817.1
Bazirganî3.8910.7
Xizmet0.4812.7

Rêbaz

  1. Analîza têketin-derketinê Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
  2. Modela têketin-derketinê ya nexebitandinê Haimes and Jiang (2001), Journal of Infrastructure Systems 7
  3. Nexebitandina dînamîk û vegerandin Lian and Haimes (2006), Systems Engineering 9
  4. Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Dane

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Benderên behrê Natural Earth
  • Tengavên behrî yên stratejîk Nexus (tengav û kanalên bi nav di koordînatên xwe yên weşandî de)
  • Rêhesin Natural Earth
  • Rêyên sereke Natural Earth
Şokek di ekonomiyeke têketin-derketinê de. Modela fêrkirinê ya nimûneyî: ew li ser nirxên ku kontrol destnîşan dikin dimeşe, ne li ser daneyên pîvandî. Rêbaz: Analîza têketin-derketinê (Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press); Modela têketin-derketinê ya nexebitandinê (Haimes and Jiang (2001), Journal of Infrastructure Systems 7); Nexebitandina dînamîk û vegerandin (Lian and Haimes (2006), Systems Engineering 9).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

06Erêkirin

How results are checked.

Pergal are validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.

Kontrol bikinHow it is done
Standards verificationSafety functions are verified against applicable standards
Field performanceVision and handling are tested under production conditions
Worker feedbackCollaborative designs are reviewed with users

Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.

07Rêbaz û delîl

How robotics in industry is modelled, measured and tested.

Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.

Modela pergalê

The couplings between the systems in robotics in industry: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−++PîşesazîKarBazirganîCivakAborîR xurtkerB hevseng
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
Prensîbên rêber ên FAIR · GO FAIR û FORCE11W3C PROV · World Wide Web ConsortiumRêwerzên ji bo birêvebirina hevgirtî ya nediyarîyan · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
08Connections

Topics that rely on this method.

09Stewardship

Who maintains the method.

Advanced Industry and Robotics stewards robotics and automation for the Consortium and reviews how it is applied across platforms.

Canonical page: Robotics and automation

10Pirs

Pirs û bersiv.

What are the limits of robotics and automation in this field?
Robots may behave unpredictably in unstructured environments not covered by testing. Interaction with people raises safety and liability questions.
How are results checked?
Systems are validated through simulation, staged field trials and conformance to functional safety standards. Operational monitoring checks performance after deployment.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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Pîşesaziya pêşketî û robotîk

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