MONITORING
CHECKLIST
SAFETY STANDARDS
By First Welding Certification Technical Editorial Team
6 Min Read
28 Aug 2026
01
PROCEDURE
Follow the right WPS
02
PROCESS
Control the key parameters
03
PEOPLE
Verify operator competence
04
PRODUCT
Check fit-up and materials
05
PROOF
Keep traceable records
Robotic welding can reproduce the same motion thousands of times. But can robotic welding show every time that all welds meet the specifications?
This is where robotic welding quality assurance is more complex than simply verifying whether the robot has performed its programmed motion. Even though the robot performs the right motion in the welding operation, other factors influence the quality of the weld such as current, voltage, wire feed speed, gas shield, joint fit up, torch, welding consumables, welding parameters and inspection results.
This is why for manufacturers who use automated welding or robotic welding, the ultimate goal is not only robot efficiency. The goal is to assure welding quality control through the manufacturing process. This is directly related to the requirements of EN ISO 3834 certification.
Imagine a production cell where the robot will weld 500 welds per shift.
“Cycle completed” message will be received each time.
But what if the contact tip wears gradually? What if the shielding gas flow reduces? What if the part arrives with dimensional deviation? What if the wire feeding gets unreliable?
The robot may have performed the programmed motion flawlessly.
This is the reason why producers should dissociate robot performance and the quality of welding. Robot informs on the fact that the programmed sequence was performed; welding quality control must ensure that the welding process happened within required conditions.
This approach can be illustrated by:
Robot Motion → Welding Process → Weld Outcome → Inspection → Traceability
It is especially important where welding procedure specifications (WPS) and weld procedure qualification record (WPQR) apply to welding procedures, inspection records and traceability.
A practical robotic welding quality system should look beyond robot position and cycle time.
| Monitoring Area | What to Check | Why It Matters |
|---|---|---|
| Welding parameters | Current, voltage, wire feed speed, travel speed | Detect process deviation |
| Torch & consumables | Contact tip, nozzle, liner, wire condition | Prevent instability and inconsistent welding |
| Shielding gas | Flow and supply condition | Reduce risk of contamination and porosity |
| Joint position | Fit-up, seam location and alignment | Ensure the arc reaches the intended joint |
| Weld appearance | Bead profile, spatter, undercut and irregularities | Identify visible quality problems |
| Inspection data | VT, NDT and applicable testing | Verify the finished weld |
| Traceability | Part, weld, WPS, operator and inspection records | Establish evidence for quality review |
The key thing to understand is that not one of these monitoring methods in itself can confirm the quality of a weld. The camera will detect surface imperfections, process data will detect changes in parameters, and inspection and NDT may add to the evidence.
Rather than considering inspection as a post-production process, the manufactures could view quality control as six interrelated checkpoints, which are as follows:
1. Prior to welding
Ensure proper material, joint preparation, WPS, consumables and production set up.
2. During welding
Control the necessary parameters, such as current, voltage, travel speed and wire feeding.
3. At the torch
Inspect the consumables, nozzle condition, contact tip condition and shielding.
4. At the joint
Make sure that the real joint position is equivalent to the program welding path.
5. Post welding
Carry out the needed visual inspection and non-destructive testing or other testings.
6. In quality record
Link the results to the specific part, weld, procedure and inspection.
This is especially important for automated welding because the qualification of personnel for mechanized and automatic welding processes is regulated by EN ISO 14732:2025 (published edition). Read our article on EN ISO 14732:2025 update.
Automation doesn’t eliminate the necessity of a properly developed welding procedure.
A robot requires specific conditions of production process as well. The WPS describes the way the welding process must be conducted, while the WPQR proves qualification of the corresponding welding procedure.
When it comes to a robotic system, the manufacturer needs to check:
Is the robot performing the welding procedure inside the qualified range of the procedure?
It’s much more important than checking whether the robot follows the program of its work.
This dependency may be represented as follows:
WPQR -> WPS -> Robot Program & Parameters -> Production Welding -> Inspection -> Quality Report
One such myth is that robotics renders welding people redundant.
The truth is that automation shifts the role but does not make it redundant.
A person would always be required to check whether the right procedure has been chosen, the right parameters controlled, the equipment maintained, and the deviation investigated and quality traceable.
For the same reason, manufacturers need to differentiate between welder qualification and welding operator qualification. ISO 14732, for example, deals with welding operators and weld setters operating robotic welding equipment.
There is also a major difference between the quality of welding and the safety of the robots.
The ISO 10218-2:2025 provides standards for the safety of industrial robot applications and robot cells, covering aspects such as integration, commissioning, operation, maintenance, and decommissioning. According to ISO, robot applications may present further hazards, depending on the application, which means that the robot itself must not be seen as independent of the whole cell.
A very good rule for manufacturers is as follows:
Robots + Welding Equipment + Tooling + Sensors + Safety Systems = Production Cell
Monitoring quality should thus be taken into consideration along with the control of the whole robotic welding system, and not just the robot controller.
Before jumping to the conclusion that the robotic welding cell is under control, it may be asked whether:
☐ The appropriate WPS is available at the production cell?
☐ The welding parameters fall within the range that is approved?
☐ The torch consumables are tested/changed according to the established criteria?
☐ There is proper control of the shielding gas supply?
☐ Joint fit-up is tested prior to welding?
☐ Welds are tested visually as required?
☐ NDT is carried out where necessary?
☐ It is possible to link the inspection findings to the corresponding production record?
☐ Deviations are investigated rather than just registered?
☐ The welding operators and responsible personnel are qualified?
The set of these controls can be considered consistent with a set of wider issues covered by ISO 3834 certification for those who are trying to implement a quality welding system.
A welding robot can reproduce the welding path. The robot is unable to verify, in isolation, that the welded component is of good quality.
It follows that the most robust approach to quality control in robotic welding is one which incorporates procedure qualification, parameter control, equipment status, joint qualification, inspection, and traceability.
The study of intelligent robotic welding is showing an increasing trend towards the use of sensor and feedback systems for quality control, not only for fault detection but potentially for early intervention. Another important feature of recent work in the area is that of multi-sensor decision making.
The manufacturing company should take into account welding parameters, consumables, shielding gas, position of the joint, state of the equipment, the appearance of the weld and inspection data and traceability. Specific controls will depend on the welding process, requirements of the product and applicable standards.
No. The use of automation does not guarantee that the weld will meet the acceptance criteria in accordance with the applicable standard, specification and quality system.
In case where a standard or any other requirement demands a qualified welding procedure, the welding should be performed using the respective WPS based on the needed qualifications.
Yes. The European Norm EN ISO 14732:2025 deals with qualification testing of welding operators and weld setters for mechanized and automatic welding of metallic materials.
Yes. Artificial Intelligence and machine vision may potentially help in anomaly detection, weld image analysis, process data analysis and pattern recognition. However, AI should be used as an additional quality control tool, but not as an automated replacement of the procedures and inspections which should be performed in accordance with the requirements.
One of the most widespread mistakes is checking only whether the robot has finished performing the programmed sequence.
Robotic welding is powerful because it delivers repeatability. But repeatability of movement is not the same as repeatability of weld quality.
Manufacturers that want reliable robotic welding should monitor the entire process chain—from procedure and material preparation to welding parameters, equipment condition, inspection and traceability.
That is where robotic welding moves from simple automation to controlled, auditable manufacturing.
For manufacturers assessing their welding quality controls against applicable requirements, explore our EN ISO 3834 certification .
From welding parameters and WPS compliance to inspection and weld traceability, make sure your robotic welding process has the right quality controls in place.Share your manufacturing scope and welding requirements with us to identify the applicable certification and quality requirements.
Contact First Welding Certification Pvt Ltd (Prvá zváračská, a.s.) to discuss your welding certification and quality requirements.
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