Project description
Robots recover critical raw materials from urban waste
Waste is manually sorted by trained staff to remove hazardous materials and recover critical raw materials (CRMs) from crashed cars, electric motors and home appliances. Current sorting machines can only process waste into three streams per hour and face challenges due to the variability in waste types. The EU-funded iBot4CRMs project will develop a self-learning robot that uses advanced AI tools to recover CRMs from urban waste. It will also dismantle end-of-life products, thereby enhancing circularity and value chains across Europe. This robotic system will combine senso-mechanical perception with flexible manipulation, integrating reusable solutions from other sectors. The project will carry out four large-scale pilots in Spain, Portugal, Greece and Turkey.
Objective
iBot4CRMs is devoted to develop and pilot a self-learning robot integrating novel AI tools, data models and meticulous manipulations to enable recovery of critical raw materials (CRMs) from urban waste and dismantling end of life products. Wastes are manually sorted today by trained staff to remove hazardous materials before incineration and recover CRMs and magnets from crashed cars, electric motors, electronic waste and home appliances after manual dismantling. Current sorting machines face limitations in separating tons/hour of waste flow in only three streams maximum as they are not able to deal with large variability in waste such that effectivity still depends on heavy manual sorting. iBot4CRMs aims to build sorting robots that encompass handcrafting and intelligence to support human work in managing the unmanageable of recovering CRMs from urban waste in real-time. The robot system will integrate solutions that are re-usable from other sectors to converge senso-mechanical perception with evolutionary learning and flexible manipulation in a responsible research and innovation for effective dismantling and precise picking of CRMs from waste to improve circularity and impact on securing critical value chains for Europe. iBot4CRMs addresses four large scale pilots for recovery of CRMs in reals-settings at large end-users and industries in Spain, Portugal, Greece and Turkey, each of them comprising several technological validation scenarios, and facilitates collaboration between small and large companies towards enabling the scalability and wider exploitation of results. The project targets CRMs of high impact/volume in waste such as recovery and recycling of neodymium magnets by dismantling motors as well as recovering selected CRMs and removing hazardous materials by effective robot picking. iBot4CRMs has not only high scientific impact with such a technology that does exist today but will also open for opportunities to meet circularity and resilience in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering waste management waste treatment processes recycling
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.5 - Artificial Intelligence and Robotics
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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HORIZON-CL4-2024-DIGITAL-EMERGING-01-04 - Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]]
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2024-DIGITAL-EMERGING-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5838 BERGEN
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.