Robohub.org
 

AI-powered robots help tackle Europe’s growing e-waste problem


by
12 May 2025



share this:

Photo credit: Muntaka Chasant, reproduced under a CC BY-SA 4.0 license.

By Kaja Šeruga

Just outside the historic German town of Goslar, a sprawling industrial complex receives an endless stream of discarded electronics. On arrival, this electronic waste is laboriously prepared for recycling. 

Electrocycling GmbH is one of the largest e-waste recycling facilities in Europe. Every year, it processes up to 80 000 tonnes of electronic waste, which comes in all shapes and forms.

Manual dismantling

Despite an impressive array of machinery, more than half of the site’s employees manually prepare the discarded items for recycling. They do this by sorting the incoming waste and removing batteries, which are a fire hazard and a major challenge in e-waste recycling.

“There are more and more devices, they are getting smaller, and they all contain lithium batteries, some of which are permanently installed, soldered or glued in place,” said Hannes Fröhlich, Electrocycling’s managing director. 

“It’s not a dream job, dismantling these appliances every day with hammers and pliers. I think we can do better.”

Some of these tedious tasks could be performed by robots. However, the problem is that every time there is a change in the product or the process, the hardware and software need to be restructured. This can be costly and time-consuming.

To address this issue, an EU-funded research initiative named ReconCycle has managed to automate the process by creating robots that can reconfigure themselves for different tasks. 

New territory for robotics

Researchers from Slovenia, Germany and Italy worked together on this issue at the Jožef Stefan Institute, Slovenia’s leading research facility, from 2020 to 2024.

The team developed adaptable AI-supported robots that are able to remove batteries from smoke detectors and radiator heat metres.

These two products can be found in most households and are replaced every five to eight years, creating large amounts of waste.

“The main challenge is that there are so many different versions of each device. Just think how many different remote controls there are,” said Dr Aleš Ude. He is head of the Department of Automatics, Biocybernetics and Robotics at the Jožef Stefan Institute and coordinates the ReconCycle research team. 

In industrial settings, robots are usually programmed for one specific task, repeating exactly the same series of movements in a predictable environment. 

Instead, the researchers set out to create a robot that can adapt to many different tasks, using state-of-the-art AI. 

“We wanted to expand robotics, introduce robots where there aren’t any yet,” Ude said.

A growing problem

Working with Electrocycling, Ude’s international research team created an adaptable robotic work cell. This is a workspace that consists of at least one robot, its tools and equipment, and its controller.

The novelty here is that this closed system autonomously adapts itself to various tasks, with the help of complex AI-driven software and modular hardware that can be quickly reconfigured. It also uses soft components like SoftHand, a human-like hand that can manipulate objects with great precision.

There are also safety features like collaborative robots and emergency stop buttons.

International collaboration was crucial in securing the right expertise, said Ude. 

“Robotics is very interdisciplinary, so it’s difficult to find the right partners in one country.” 

Thankfully, the new robots are arriving just at the right time, as the amount of e-waste produced every year continues to grow. Almost 5 million tonnes of e-waste are produced in the EU each year, amounting to about 11 kilograms per person. Less than 40% of that is recycled, the European Parliament has warned. 

Globally, around 62 million tonnes of e-waste were produced in 2022 alone, enough to fill 1.5 million 40-tonne trucks, according to UN data. Even more worryingly, the amount of e-waste is rising five times faster than the amount that is being recycled.

The EU is working to reduce e-waste through the Waste from Electrical and Electronic Equipment Directive, which sets the standards for collection and recycling. 

The work of Ude’s team is also aligned with the EU’s digital strategy, which encourages the use of AI in manufacturing to improve efficiency and help achieve climate neutrality by 2050.

Throwing away money

E-waste also has serious economic implications. An estimated €84 billion is lost each year when valuable metals like copper, iron and gold are discarded instead of being reused, according to the UN’s global e-waste monitor. 

At Electrocycling, 80% of the e-waste is recovered as raw materials, such as iron, zinc, gold, silver and palladium – some 35 materials in all.

“People need to understand that this is not just waste, but also raw materials that need to be recycled and kept in circulation, both for economic efficiency and a reduction of CO2,” said Fröhlich. 

New technology can make it even more efficient, and Fröhlich sees a lot of potential in it. 

“I was surprised by how far the technology and AI have already come,” he said. “They even recreated a human hand for the robot.”

Ude hopes to continue working with Electrocycling to improve e-waste solutions further. The hope is also that adaptable robots which can handle changing environments will have applications far beyond e-waste recycling. 

Given more time and development, these robots could even handle general housekeeping, or support carers in senior homes, said Ude. 

“Robotics could be of great help in such areas.”

This article was originally published in Horizon, the EU Research and Innovation magazine.




Horizon Magazine brings you the latest news and features about thought-provoking science and innovative research projects funded by the EU.
Horizon Magazine brings you the latest news and features about thought-provoking science and innovative research projects funded by the EU.


Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 147 – Miniature living robots, with Maria Guix

  06 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Guix from the University of Barcelona about combining electronics and biology to create biohybrid robots with emergent properties.

Developing an optical tactile sensor for tracking head motion during radiotherapy: an interview with Bhoomika Gandhi

  05 Mar 2026
Bhoomika Gandhi discusses her work on an optical sensor for medical robotics applications.

Humanoid home robots are on the market – but do we really want them?

  03 Mar 2026
Last year, Norwegian-US tech company 1X announced “the world’s first consumer-ready humanoid robot designed to transform life at home”.

Robot Talk Episode 146 – Embodied AI on the ISS, with Jamie Palmer

  27 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jamie Palmer from Icarus Robotics about building a robotic labour force to perform routine and risky tasks in orbit.

I developed an app that uses drone footage to track plastic litter on beaches

  26 Feb 2026
Plastic pollution is one of those problems everyone can see, yet few know how to tackle it effectively.

Translating music into light and motion with robots

  25 Feb 2026
Robots the size of a soccer ball create new visual art by trailing light that represents the “emotional essence” of music

Robot Talk Episode 145 – Robotics and automation in manufacturing, with Agata Suwala

  20 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Agata Suwala from the Manufacturing Technology Centre about leveraging robotics to make manufacturing systems more sustainable.

Reversible, detachable robotic hand redefines dexterity

  19 Feb 2026
A robotic hand developed at EPFL has dual-thumbed, reversible-palm design that can detach from its robotic ‘arm’ to reach and grasp multiple objects.



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence