Project description
Robotics, data and AI systems for ship recycling
Ship recycling, involving the dismantling of ships, poses significant risks, with high levels of fatalities, injuries and work-related diseases despite international regulations. The sector also faces challenges related to inadequate waste management, leading to the contamination of coastal areas with toxic waste. In response to these issues, the EU-funded SHEREC project will introduce innovative robotics, data and AI systems to the ship recycling industry to set new standards for worker safety and environmental responsibility. The project envisions the use of an AI-powered drone to locate hazardous materials, while a digital twin of the ship and AI-based planning methods will automate the ship’s recycling plan. In addition, two mobile robotic systems will be introduced to robotise cutting and paint removal processes.
Objective
Ship recycling refers to the disassembly of a ship in recycling facilities, as well as the storage and processing of these materials to reuse them. The ship recycling industry enables the reuse of raw materials for industrial purposes, and thus is fully in line with the European Circular Economy Action Plan and Green Deal objectives. Yet, in addition to work-related diseases due to toxic substances, unacceptably high levels of fatalities and injuries at current shipbreaking yards makes ship recycling one of the most dangerous occupations in the world (ILO 2015).
Besides, due to the lack of proper waste management, toxic waste from shipbreaking contaminates the coastal areas and exposes the workers to hazardous substances. Although international regulations exist to reduce and prevent the adverse effects of ships on human health and the environment (IMO 2009; UNEP 2011; Regulation EU No 1257/2013), improving the safety and health of workers and stopping the detrimental impact on the environment still remain major challenges of the sector.
The main objective of SHEREC is to enable the involvement and adoption of innovative robotics, data and AI systems into the ship recycling industry to significantly improve the occupational health and safety conditions in this industry and to prevent contamination of hazardous materials both at occupational and environmental levels. Specifically, SHEREC will (1) semi-automate the preparation process in ship recycling using an AI-powered drone inspecting the interior of the ship to locate hazardous materials on the ship, (2) create an automated ship recycling plan using a digital twin of the ship and AI-based planning methods, and (3) automate the cutting and paint removal processes in ship recycling process using two innovative mobile robotic systems that can work autonomously or via tele-operation.
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
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
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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.
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-CL4-2023-HUMAN-01-CNECT
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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.
41400 KOCAELI
Türkiye
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.