Surface finishing and
quality control

Surface finishing

At Nordbo Robotics we develop technology platforms and products that target surface finishing processes including quality inspection for finishing check and area identification. These process application areas are closely linked and are least automized compared to handling, welding, assembly, etc. 

The main reason for this lack of automation is that processing tasks such as grinding, polishing, deburring and painting have an extremely high complexity, which makes them difficult and costly to automate, especially for SMCs high mix and low volume production.

With our software platforms as tools for craftsmen, on one hand, we help improve craftsman’s working environment, help prevent repetitive strain and muscle injuries, “white finger” syndrome due to vibrations causing nerve damages, and decrease risks for lung diseases.
On the other hand, businesses get a solution for growing shortage of trained/qualified and cost-effective labor, and at the same time optimize process costs by improving throughput quality and consistency of finish, reducing scrap/waste, overproduction, finishing cost and better utilization of abrasive media. 

Application areas

Our software platforms can automate complex surface treatment and quality inspection processes in these application areas:

Quality Control, Application Area, Nordbo Robotics

Quality control

Surface finishing is a broad range of global industrial processes that alter the surface of a manufactured item to achieve a certain property. Today, processes such as grinding, polishing, deburring, painting, etc. across different materials (metal, plastic, composite, concrete) and markets segments (automotive, 3C, construction, energy) are still largely covered by human workers. These are complicated crafts that require extensive process know-how and experience. Many businesses in different industries are facing a shortage of qualified craftsmen who can consistently produce high quality goods.

If we take grinding application as an example, the average effective grinding time for a manual worker is typically 40%, which is 3.2 hours of an 8-hour working day. Also, the output consistency typically drops up to 50% after 2 hours of continuous work. 

The inconsistent output leads to an overproduction to compensate the bad parts, and a high scrape/waste rate. All this sums up to large amounts of wasted resources caused by overproduction itself and waste disposal as well.

Industry challenges

Manual processing

Material Removal, Grinding, Nordbo Robotics


The extensive safety requirements can be difficult to meet by some companies (protection equipment, ventilation setup)


Companies worldwide are struggling to find skilled labor to handle post-processing tasks


Faulty manual processing can lead to a high number of scrapped parts if tolerances are not met; inconsistent use of abrasives lead to abrasive scraps) 


The poor ergonomic related to post-processing can cause serious long-term injuries 


Meeting tolerances and achieving a high uniformity is difficult by manual processing


Low repeatability due to manual processing increases the time spend on quality control

Industry challenges

Automated process

Applications - Surface Finishing - Quality Control -


Existing solutions are huge and require weeks of planning to setup.


The extensive setups are expensive and often require a huge amount of space.


3D files used to create programs does rarely match part tolerances causing faulty processing.


Programming and reprogramming of these setups require in-depth knowledge or external support.


Existing solutions are made for mass production and require extensive work to handle new parts.


The difficulties of changing the setup make these solutions unfit for high mix/low volume manufacturing.

Sabina Kethelz, Director of Business Development, No Code, Nordbo Robotics

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