GCRI · Future of Work and Skills

Robotics and the workplace

Robotics and automation change physical work in manufacturing, logistics, agriculture and care. In this field they are studied for their effects on tasks, safety and job quality, and for how workers and robots share work.

01Register

Robotics and the workplace on the record.

Method recordSTEM method
  1. MethodRobotics and automation
  2. Applied inFuture of Work and Skills
  3. Canonical pageSTEM Commons
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 operational risk and labour. In work and skills, society and human development and artificial intelligence, 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 the STEM Commons.

Robot adoption and employment

Robot installation data are linked with local employment and wages to estimate how robots affect workers in exposed industries and regions.

Safety in human-robot work

Injury and near-miss data from workplaces with robots are analysed to identify new hazards and effective safeguards.

Job redesign around robots

Case studies document how tasks are redistributed when robots are introduced, and how workers’ skills and autonomy change.

03Methods and evidence

How robotics and the workplace is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

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

++−++WorkSocietyArtificial intelligenceCommunitiesEconomyR reinforcingB balancing
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.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
04Data

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.

DataRoleLabel
Robot installation statisticsExposureREPORTED
Local labour market dataOutcomesPublished statistics
Workplace injury recordsSafetyPublished statistics
05Process

How the process runs.

Process

Robotics and the workplace: Risk management process

ISO 31000:2018 sets out an iterative risk management process, from scope, context and criteria through assessment and treatment to monitoring, review and reporting.

  1. 01 Frame

    1. 01Scope, context and criteriaDataset · Employers’ associationThe frame for the process: the scope, the external and internal context, and the risk criteria. Later steps are read against this frame.
  2. 02 Risk assessment

    1. 04Risk identificationStep · Employers’ associationThe first part of risk assessment. Risk is usually expressed by risk sources, potential events, their consequences and likelihood.
    2. 05Risk analysisModel · Employers’ associationThe second part of risk assessment. It considers consequences and likelihood of the identified risks, with guidelines, not a formula.
    3. 06Risk evaluationStep · Employers’ associationThe last part of risk assessment. Results of the analysis are compared with the risk criteria to see where more action is needed.
  3. 03 Treatment

    1. 07Risk treatmentStep · Employers’ associationTreatment options are selected, then plans are prepared and implemented. Residual risk is documented and goes to monitoring and review.
  4. 04 Across the process

    1. 02Communication and consultationStep · Employers’ associationCommunication and consultation with stakeholders is its own process element. The standard draws it alongside the others, not in sequence.
    2. 03Monitoring and reviewStep · Employers’ associationMonitoring and review take place at every stage. New experience, knowledge and analysis can revise elements, actions and controls.
  5. 05 Record and report

    1. 08Recording and reportingRecord · Employers’ associationThe process and its outcomes are documented and reported. The standard does not name who receives the report in the clauses read.

Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.

06Validation

How results are checked.

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

CheckHow it is done
Identification strategyRobot effects are estimated with designs that address reverse causality
Injury codingInjury records are checked for consistent coding of robot involvement
Case study triangulationCase findings are compared with survey evidence

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

07Connections

Topics that rely on this method.

08Stewardship

Who maintains the method.

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

10Questions

Questions and answers.

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?
The canonical method page lists every platform that applies it.
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Reports 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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