Industrial Robot Controller
Key facts
Industrial robot controllers operate and monitor industrial robots used in automation processes to perform various manufacturing activities such as lifting, welding and assembling. They ensure that the machines are working correctly and in sync with other industrial robots, maintain and repair defective parts, assess risks and perform tests.
Industrial robot controllers are essential in today’s automated factories. Your day will involve operating and closely monitoring industrial robots that perform tasks like welding, lifting, and assembling. You'll be responsible for ensuring these robots function correctly, work in coordination with other automated systems, and maintain production schedules. Troubleshooting issues, performing routine maintenance, and assessing potential safety risks are also key aspects of the role.
- • Operating and monitoring industrial robots to ensure efficient and accurate performance.
- • Diagnosing and repairing defective robot components and programming errors.
- • Performing routine maintenance and safety checks on robotic systems.
Where this occupation is in demand
Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.
Figures cover Science and engineering associate professionals — 267 jobs including this one.
In shortage: Belgium, Bulgaria, Greece, Lithuania and 1 more.
Longest-running shortage: Belgium, 4 years.
Select a place on the map to see its figures.
About this source›
Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.
What these words mean
The four things this section reports
- Reported demand
- Whether employers report needing people in this job — a judgement published by a national or EU body, not a count.
- Where it is heading
- Which way employment in this job is expected to move over the coming years, from an official projection.
- Openings
- Roughly how many openings arise — from growth and from people leaving the job.
- Typical pay
- What people in this job typically earn where the source publishes it. Blank does not mean unpaid; it means nobody publishes it for that place.
A measure is left out when nobody publishes it for that place, rather than shown as zero.
Which way the market leans for you
- In your favour
- More openings than people looking — employers are competing for candidates.
- Balanced
- Openings and candidates are roughly matched.
- Competitive
- More people looking than openings — expect to compete.
- Mixed evidence
- Sources disagree, or the same occupation group is short in one part and oversupplied in another.
Every source resolves to one of these four, so there is a single vocabulary to learn. What differs is the evidence behind it, which is printed underneath each verdict — a measured ratio of openings to jobseekers, or an assessment published by a national body.
How this job compares with other jobs in the same country
- Strong
- Among the strongest in that country
- Good
- Stronger than most jobs in that country
- Mixed
- About typical for that country
- Weak
- Weaker than most jobs in that country
This is a rank within one country, not a score you can carry across borders — the registers behind two countries count different people, so the same number means different things in each. It is also why a job can be among the strongest in a country and still show as Competitive: it leads the field in a market that is crowded overall.
Where these come from
Every figure is published by a national statistics office, a public employment service or an EU body, and each card names its source and the period it covers. Some places are counted monthly, others assessed once or twice a year, so two places on the same map can be describing different moments — the date is always shown.
None of this predicts one person’s chances. It describes a market.
Reported demand · Typical pay · Where it is heading (United States, Ireland, Australia, Malta, United Kingdom)
| Reported demand | Typical pay | Where it is heading | |
|---|---|---|---|
| United States | Not reported | $73,900 2025-05 | +1.1% 2024–2034 · BLS 2024-2034 |
| Ireland | Not reported | — | +13.7% 2023–2035 · Cedefop 2026 * |
| Australia | Assessed as balanced Jobs and Skills Australia 2025 * | — | — |
| Malta | Shortage reported ELA/EURES 2024 * | — | — |
| United Kingdom | Not reported | £36,062 2025-provisional | — |
* Published for occupation groups, not for individual job titles.
U.S. Bureau of Labor Statistics (OEWS)
Source: Office for National Statistics, Annual Survey of Hours and Earnings, Open Government Licence v3.0
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Future Outlook for industrial robot controller
The outlook for industrial robot controller reflects a balanced mix of automation exposure and durable, human-led work.
How are these scores calculated?
The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.
How could industrial robot controller change as AI adoption grows?
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.
Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.
Model-based estimate. Use it as a planning signal, not a guarantee.
Compare this to your profile
How AI may change this role
Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.
What still depends on people
- wear appropriate protective gear
Where AI may become a co-pilot
- perform risk analysis
- maintain robotic equipment
- monitor automated machines
Tasks most exposed to automation
No single task here is highly automatable yet.
Vital Signs & AI Vectors
AI Exposure Vectors
0-100%Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks
Exposure to physical automation, robotics, and sensor-driven task displacement
Exposure to content generation, creative augmentation, and large language model tools
Exposure to workflow automation, decision-support software, and process digitisation
Technical Details
NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.
Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.
What people in this role usually do
Advanced Manufacturing
A typical day as an industrial robot controller
09 09:00 · Morning maintain control systems for automated equipment
10 10:30 · Mid-morning adjust manufacturing equipment
12 12:00 · Midday monitor automated machines
14 14:00 · Afternoon perform risk analysis
15 15:30 · Late afternoon perform machine maintenance
17 17:00 · Wrap-up maintain robotic equipment
Task order is illustrative. Individual days vary.
What you need to do this work
The skills, knowledge and tools this role calls for — and the traits and rewards that come with it.
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maintain robotic equipment
Diagnose and detect malfunctions in robotic components and systems and remove, replace, or repair these components when necessary. Execute preventative equipment maintenance tasks, such as storing robotic components in clean, dust-free, and non-humid spaces.
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maintain control systems for automated equipment
Check, maintain and repair electrical and electronic elements. Check and update software of automated equipment.
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set up machine controls
Set up or adjust machine controls to regulate conditions such as material flow, temperature, or pressure.
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set up the controller of a machine
Set up and give commands to a machine by dispatching the appropriate data and input into the (computer) controller corresponding with the desired processed product.
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perform risk analysis
Identify and assess factors that may jeopardise the success of a project or threaten the organisation's functioning. Implement procedures to avoid or minimise their impact.
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wear appropriate protective gear
Wear relevant and necessary protective gear, such as protective goggles or other eye protection, hard hats, safety gloves.
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monitor automated machines
Continuously check up on the automated machine's set-up and execution or make regular control rounds. If necessary, record and interpret data on the operating conditions of installations and equipment in order to identify abnormalities.
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perform machine maintenance
Perform regular maintenance, possibly including corrections and alterations, on a machine or machine tool to ensure it remains in a proper productive state.
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adjust manufacturing equipment
Regulate and monitor the manufacturing equipment settings and process parameters, such as its temperature and power level. Review the manufacturing process and equipment and suggest improvements.
CAM software
Different tools for computer-aided manufacturing (CAM) to control machinery and machine tools in the creation, modification, analysis, or optimisation as part of the manufacturing processes of workpieces.
cost management
The process of planning, monitoring and adjusting the expenses and revenues of a business in order to achieve cost efficiency and capability.
- automation technology
- production processes
- robotic components
- CAD software
- CADD software
- CAE software
- mechanics
- robotics
- sensors
Path to become an industrial robot controller
What it typically takes to qualify: education level, where it is a regulated profession, and where to study.
Short-cycle tertiary education
687 programmes in 28 countries teach the core skills of this job. Plus 181 short courses that build single skills.
A few examples, taught in the language of this page:
Bachelor of Automation and Robotics
The University of Western Australia (UWA) · Australia
Robotics and Autonomous Systems Engineering
Türkiye
Robotics Systems Control and Troubleshooting (in PDC in Robotics in Specialist Diploma in Robotics & Automation)
Singapore
These are 6 of 868.
Sources
- 1. Source: Commonwealth of Australia (Department of Education), CRICOS, data.gov.au, CC BY 2.5 AU. Data as at 01/09/2026. Adapted by NexPath.
- 2. Source: EHIS (Estonian Education Information System), Ministry of Education and Research of Estonia, open data. Data as at 26/09/2026.
- 3. Source: Study in Korea, National Institute for International Education (NIIED) (studyinkorea.go.kr).
- 4. Source: YÖK Atlas, Council of Higher Education (yokatlas.yok.gov.tr).
- 5. Contains information from MySkillsFuture Course Run accessed on 2026-09-28 from data.gov.sg which is made available under the terms of the Singapore Open Data Licence version 1.0 (https://data.gov.sg/open-data-licence)
Growth Pathways & Similar Roles
Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.
Where does industrial robot controller fit?
Similarity scores based on skill overlap from ESCO data.
For organisations
The data on this page, working for your students, clients and staff.
Frequently asked questions
What kind of training or experience is typically needed to become an industrial robot controller?
How important is safety in this role?
Can I be self-employed as an industrial robot controller?
Is there a shortage of Industrial Robot Controller in Europe?
How much does Industrial Robot Controller pay in the United States?
Sources: ESCO O*NET ELA/EURES Cedefop BLS Data updated October 3, 2026 About our data