Danish engineers want to give your freezer new life with robots and AI

Francois  Picard

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Danish engineers want to give your freezer new life with robots and AI

AI and advanced robotics aim to save millions of fridges and freezers from the scrap heap — paving the way for a more circular future.


Every year, more than seven million fridges and freezers are discarded in Europe.

The vast majority end up as scrap, even though components such as compressors, cooling systems, and other electronics could easily be given new life.

Danish engineers are now seeking to change this, using artificial intelligence, cameras, and robots that will eventually be able to disassemble white goods, analyse them, replace worn components, and reassemble them — making them almost as good as new.

Robots learning to save freezers

The Danish Technological Institute (DTI) is participating in the EU-funded RENÉE project, which aims to revolutionise product remanufacturing—also known as remanufacturing.

Here, robots and cameras work together to disassemble used freezers while simultaneously analysing and classifying the condition of each individual component.

− The camera technology is combined with AI, which is effective at detecting damage and wear on the product, explains François Picard, Senior Specialist at DTI, and continues:

− Through the four application examples associated with the project — white goods, robots, motors, and bicycles — we delve into where and how advanced robotics can help ensure more circular remanufacturing of products.

The challenge with appliances like fridges and freezers is complex.

A robot must be able to identify which parts can be reused, which need repair, and which must be completely replaced — all while navigating between electronics, plastic, and aluminum — materials that would otherwise be 'lost forever', as François Picard puts it.

− But remanufacturing is a tough challenge, and it requires investment. Very few companies get started with this. Yet all studies and research indicate this is the way forward — both in terms of saving and creating circularity, emphasises François Picard.

Why use robots?

But why use robots to disassemble freezers? The answer is both economic and practical.

− Manual remanufacturing is very costly, so automation is the key to making remanufacturing a viable business, explains François Picard.

− And if we don’t try, we won’t know if it works.

The issue is that white goods have become so cheap to buy that consumers lack incentive to have them repaired — meaning many fully functional components end up at the scrapyard.

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»The goal of the project is that in the end we will have tangible knowledge and experience that can be used to scale up automated remanufacturing.«

François Picard, Senior Specialist at DTI

Project goals

The aim of the project is for the experience to reach beyond the laboratory.

The RENÉE project spans several years and involves 16 partners from nine European countries, including Denmark, Greece, Spain, France, Italy, the Netherlands, Portugal, Germany, and Turkey.

− The goal of the project is that in the end, we will have concrete knowledge and experience that can be used to scale up automated remanufacturing, emphasises François Picard.

− If this proves possible, it will cover a large share of our consumption. If we can show that it is viable both environmentally and economically, we have won, he adds.

So in the future, when your freezer ‘retires’, it just might get a new beginning — powered by robots, AI, and human expertise.

A circular journey from kitchen, to workshop, and back again.

Do you also want to make your production more circular with AI and robotics? Contact us today.


Facts: About RENÉE

The RENÉE project is led by the Laboratory for Manufacturing Systems and Automation in Greece. In addition, the partners involved are TECNALIA Research & Innovation, CEA, Istituto Italiano di Tecnologia, Eindhoven University of Technology, INESC, TEC, Teaching Factory Competence Center, Comau Netcompany-Intrasoft, EIT Manufacturing, STAM S.r.l., Emotors, Campetella Robotic Center, Decathlon Italia, Arçelik Global and the Danish Technological Institute.

RENÉE receives support from the EU's Horizon Europe research and innovation programme.

The RENÉE project works with the remanufacturing of refrigerators, freezers, robots, motors, and bicycles together with a total of 16 partners from across Europe.


Facts: Six ways AI and robots can extend product lifespans

1. AI for product condition diagnosis

AI will be used to analyse and classify the condition of used products or components that are returned for remanufacturing. For example, detecting damage and wear on the surface of a refrigerator. Machine learning models and statistical methods will be applied to determine the most appropriate remanufacturing strategy based on the product’s condition.

2. AI for enhanced robot perception

AI will improve the robots’ ability to perceive and understand their working environment through advanced vision systems and algorithms for object detection and handling. For example, AI can help robots locate a refrigerator’s compressor and the position of screws that need to be loosened in order to remove it.

3. AI for optimised robot handling

AI can help design the most efficient robot movements and develop gripping tools that automatically adjust their grip based on the object’s material and condition.

4. AI to enhance interaction between operators and robots

AI can explain to operators which model of product they are looking at, as well as make it easier to interpret and explain the robots’ behaviour, for example through augmented reality. Artificial intelligence also enables the use of predefined, voice-controlled commands for the robot.

5. AI for remanufacturing simulation

Digital twins allow for the simulation of remanufacturing processes in a virtual environment before they are implemented in the real world. This may include everything from disassembly and inspection to repair and remanufacturing of products. By simulating these processes, companies can identify potential challenges in disassembly without risking physical resources.

6. AI for flexible production planning

In a remanufacturing process, the availability of materials and components can vary significantly. AI can be used to predict the availability of necessary materials and components based on historical data and current market conditions.